Bachelorโs degree in Computer Engineering or similarly technical field; Eight (8) yearsโ experience with systems architecture, including at least five (5) years of specific experience with Microsoft Cloud products including Power Platform and Azure; and each of the following:
(1) Must be current holder of Microsoft FastTrack Recognized Solution Architect (FTRSA) designation (Power Platform track or Dynamics 365 track).
(2) Must have completed formal HIPAA training for software development;
(3) Demonstrated expertise in each of the following: (a) Microsoft Power Platform and Azure architecture patterns, with proven experience translating complex healthcare workflows, clinical encounters, insurance eligibility, billing, and claims into scalable, auditable digital systems; (b) The full medical billing cycle, including patient registration, insurance verification, charge capture, and final payment posting.
(4) Demonstrated experience with each of the following: (a) Designing and implementing secure PHI transmission pipelines to external systems and third-party integrations, with hands-on experience structuring data flows that comply with BAA obligations, enforcing TLS/mTLS for data in transit, managing encryption key lifecycles, and ensuring end-to-end PHI integrity across system boundaries; (b) Engineering HIPAA-compliant audit logging and access control systems from the ground up, including tamper-evident audit trails, automated access reviews, field-level encryption of PHI within databases, and role-based access models that enforce minimum necessary access at both the application and data layer; (c) Identifying and remediating HIPAA security risks within software systems, conducting technical risk assessments, threat modeling data flows that touch PHI, implementing breach detection mechanisms, and ensuring applications meet the required administrative, physical, and technical safeguard standards under the Security Rule; (d) Making architectural decisions in production healthcare systems that directly satisfy HIPAA Privacy and Security Rules at an implementation level, including the full scope of technical safeguard requirements including encryption standards, access controls, audit controls, and integrity controls; (e) Architecting automated \"Claim Scrubbers\" within the medical billing workflow to validate data against payer-specific edits prior to submission.
(5) Demonstrated knowledge of each of the following: (a) ICD-10/11, CPT, and HCPCS coding structures and how they impact the data schema of a D365 Healthcare implementation; (b) National Council for Prescription Drug Programs (NCPDP) Telecommunication Standard (D.0) for real-time pharmacy adjudication; (c) Managing and automating the resolution of medical billing rejections (TA1, 999, and 277CA) resulting from technical or formatting errors at the clearinghouse level; (d) Architecting medical billing workflows for denial management, specifically using 835 Remittance Advice codes to trigger automated appeals and medical necessity reviews.
(6) Up to 25% international travel to Nepal/India is required.
SALARY: $149,989. Learn about our employee benefits here: lftechnology.com/careers. Interested candidates may apply online at lftechnology.com/careers or send resume to sijangurugain@lftechnology.com with job title in subject line.
Leverage deep healthcare domain expertise to design, govern, and deliver enterprise-scale clinical, billing, and claims platforms. This role owns solution architecture across Power Platform, Azure integration services, APIs, and healthcare billing systems, ensuring secure, compliant, high-performance solutions that meet both business and regulatory requirements.
Key Responsibilities:
Solution Architecture & Design: Architect enterprise healthcare platforms combining Power Platform (Canvas & Model-Driven), Dataverse, PowerApps Component Framework and Azure cloud services for high-performance, scalable, and secure solutions; Translate complex clinical workflows and pharmacy operations into modular, maintainable digital systems; Design full-stack integrations with REST APIs, Azure Functions, Logic Apps, and third-party payer/EHR systems; Develop and maintain structured data models and enforce schema validation in Dataverse to support clinical codes, visit types, fee schedules, and healthcare workflow processes; Ensure HIPAA compliance, PHI security, RBAC, and auditability across all layers of the solution.
End-to-End Ownership: Lead full lifecycle delivery from requirements elicitation, technical architecture, and solution design to implementation, testing, deployment, and production stabilization; Own clinical encounter workflows, billing logic, and claims-ready payloads, including CPT/HCPCS mapping, modifier assignment, insurance eligibility, prior authorization, and ABN handling; Optimize real-time payment workflows for copay, out-of-pocket, and prior authorization processes within Canvas Apps and backend APIs; Serve as technical escalation point for cross-layer dependencies spanning UI, Dataverse, PCF components, Azure services, and payer integrations.
AI & Copilot Innovation: Architect AI-driven clinical and operational workflows leveraging Azure AI Foundry Services, OpenAI/GenAI, and low-code AI integrations within Power Platform; Implement predictive coding, automated claims validation, modifier recommendations, and eligibility checks to reduce errors and accelerate reimbursement; Integrate AI capabilities to enhance clinical decision support, patient triage, and workflow automation in both staff and patient-facing applications; Continuously evaluate emerging AI/ML technologies to optimize operational efficiency, claim accuracy, and patient outcomes.
Team Leadership & Mentorship: Lead and mentor distributed engineering teams on Power Platform best practices, full-stack development, PCF component design, Azure integration, and healthcare workflow modeling across multiple time zones; Conduct architecture reviews, code reviews, and performance tuning sessions to enforce high-quality, modular, and scalable solutions; Guide teams on delegation-friendly Dataverse queries, lazy loading, Named Formulas, API orchestration, and claims workflow automation; Foster a culture of technical excellence, cross-domain knowledge sharing, and adherence to healthcare compliance standards.
Collaboration & Alignment: Collaborate with clinicians, pharmacy staff, DME coordinators, operational leads, and administrative stakeholders to translate real-world healthcare workflows into digital solutions; Facilitate workshops and technical reviews to align business requirements with architecture, compliance standards, and technical feasibility; Ensure workflow standardization, consistent service identifiers, CPT/HCPCS mapping, and payload accuracy across modules; Integrate clinical and billing systems with enterprise reporting, payer-specific logic, and claims processing platforms.
Microsoft Product Team Collaboration: Partner with Microsoft engineering, Power CAT, and FastTrack teams to validate solution architecture, adopt platform best practices, and influence roadmap decisions; Represent the organization at Microsoft conferences and community events as a subject matter expert in healthcare digital transformation on Power Platform and Azure; Provide guidance on advanced Power Platform patterns, PCF extensibility, Azure cloud design, and enterprise-grade compliance architecture; Stay current on Power Platform, Azure, AI/ML, and healthcare technology innovations to inform long-term solution strategy.
Continuous Improvement: Optimize application performance, operational efficiency, and workflow automation across clinical, billing, and DME systems; Implement CI/CD pipelines, DevOps automation, versioned managed solutions, and automated testing to ensure reliability and reproducibility; Lead data validation, payload standardization, and fee schedule updates to reduce errors, improve claim accuracy, and ensure regulatory compliance; Evaluate and adopt emerging technologies (AI, ML, Azure cloud services, integration patterns) to enhance user experience, clinical throughput, and reimbursement outcomes.
Leverage deep healthcare domain expertise to design, govern, and deliver enterprise-scale clinical, billing, and claims platforms. This role owns solution architecture across Power Platform, Azure integration services, APIs, and healthcare billing systems, ensuring secure, compliant, high-performance solutions that meet both business and regulatory requirements.
Key Responsibilities:
Solution Architecture & Design: Architect enterprise healthcare platforms combining Power Platform (Canvas & Model-Driven), Dataverse, PowerApps Component Framework and Azure cloud services for high-performance, scalable, and secure solutions; Translate complex clinical workflows and pharmacy operations into modular, maintainable digital systems; Design full-stack integrations with REST APIs, Azure Functions, Logic Apps, and third-party payer/EHR systems; Develop and maintain structured data models and enforce schema validation in Dataverse to support clinical codes, visit types, fee schedules, and healthcare workflow processes; Ensure HIPAA compliance, PHI security, RBAC, and auditability across all layers of the solution.
End-to-End Ownership: Lead full lifecycle delivery from requirements elicitation, technical architecture, and solution design to implementation, testing, deployment, and production stabilization; Own clinical encounter workflows, billing logic, and claims-ready payloads, including CPT/HCPCS mapping, modifier assignment, insurance eligibility, prior authorization, and ABN handling; Optimize real-time payment workflows for copay, out-of-pocket, and prior authorization processes within Canvas Apps and backend APIs; Serve as technical escalation point for cross-layer dependencies spanning UI, Dataverse, PCF components, Azure services, and payer integrations.
AI & Copilot Innovation: Architect AI-driven clinical and operational workflows leveraging Azure AI Foundry Services, OpenAI/GenAI, and low-code AI integrations within Power Platform; Implement predictive coding, automated claims validation, modifier recommendations, and eligibility checks to reduce errors and accelerate reimbursement; Integrate AI capabilities to enhance clinical decision support, patient triage, and workflow automation in both staff and patient-facing applications; Continuously evaluate emerging AI/ML technologies to optimize operational efficiency, claim accuracy, and patient outcomes.
Team Leadership & Mentorship: Lead and mentor distributed engineering teams on Power Platform best practices, full-stack development, PCF component design, Azure integration, and healthcare workflow modeling across multiple time zones; Conduct architecture reviews, code reviews, and performance tuning sessions to enforce high-quality, modular, and scalable solutions; Guide teams on delegation-friendly Dataverse queries, lazy loading, Named Formulas, API orchestration, and claims workflow automation; Foster a culture of technical excellence, cross-domain knowledge sharing, and adherence to healthcare compliance standards.
Collaboration & Alignment: Collaborate with clinicians, pharmacy staff, DME coordinators, operational leads, and administrative stakeholders to translate real-world healthcare workflows into digital solutions; Facilitate workshops and technical reviews to align business requirements with architecture, compliance standards, and technical feasibility; Ensure workflow standardization, consistent service identifiers, CPT/HCPCS mapping, and payload accuracy across modules; Integrate clinical and billing systems with enterprise reporting, payer-specific logic, and claims processing platforms.
Microsoft Product Team Collaboration: Partner with Microsoft engineering, Power CAT, and FastTrack teams to validate solution architecture, adopt platform best practices, and influence roadmap decisions; Represent the organization at Microsoft conferences and community events as a subject matter expert in healthcare digital transformation on Power Platform and Azure; Provide guidance on advanced Power Platform patterns, PCF extensibility, Azure cloud design, and enterprise-grade compliance architecture; Stay current on Power Platform, Azure, AI/ML, and healthcare technology innovations to inform long-term solution strategy.
Continuous Improvement: Optimize application performance, operational efficiency, and workflow automation across clinical, billing, and DME systems; Implement CI/CD pipelines, DevOps automation, versioned managed solutions, and automated testing to ensure reliability and reproducibility; Lead data validation, payload standardization, and fee schedule updates to reduce errors, improve claim accuracy, and ensure regulatory compliance; Evaluate and adopt emerging technologies (AI, ML, Azure cloud services, integration patterns) to enhance user experience, clinical throughput, and reimbursement outcomes.
Bachelorโs degree in Computer Engineering or similarly technical field; Eight (8) yearsโ experience with systems architecture, including at least five (5) years of specific experience with Microsoft Cloud products including Power Platform and Azure; and each of the following:
(1) Must be current holder of Microsoft FastTrack Recognized Solution Architect (FTRSA) designation (Power Platform track or Dynamics 365 track).
(2) Must have completed formal HIPAA training for software development;
(3) Demonstrated expertise in each of the following: (a) Microsoft Power Platform and Azure architecture patterns, with proven experience translating complex healthcare workflows, clinical encounters, insurance eligibility, billing, and claims into scalable, auditable digital systems; (b) The full medical billing cycle, including patient registration, insurance verification, charge capture, and final payment posting.
(4) Demonstrated experience with each of the following: (a) Designing and implementing secure PHI transmission pipelines to external systems and third-party integrations, with hands-on experience structuring data flows that comply with BAA obligations, enforcing TLS/mTLS for data in transit, managing encryption key lifecycles, and ensuring end-to-end PHI integrity across system boundaries; (b) Engineering HIPAA-compliant audit logging and access control systems from the ground up, including tamper-evident audit trails, automated access reviews, field-level encryption of PHI within databases, and role-based access models that enforce minimum necessary access at both the application and data layer; (c) Identifying and remediating HIPAA security risks within software systems, conducting technical risk assessments, threat modeling data flows that touch PHI, implementing breach detection mechanisms, and ensuring applications meet the required administrative, physical, and technical safeguard standards under the Security Rule; (d) Making architectural decisions in production healthcare systems that directly satisfy HIPAA Privacy and Security Rules at an implementation level, including the full scope of technical safeguard requirements including encryption standards, access controls, audit controls, and integrity controls; (e) Architecting automated \"Claim Scrubbers\" within the medical billing workflow to validate data against payer-specific edits prior to submission.
(5) Demonstrated knowledge of each of the following: (a) ICD-10/11, CPT, and HCPCS coding structures and how they impact the data schema of a D365 Healthcare implementation; (b) National Council for Prescription Drug Programs (NCPDP) Telecommunication Standard (D.0) for real-time pharmacy adjudication; (c) Managing and automating the resolution of medical billing rejections (TA1, 999, and 277CA) resulting from technical or formatting errors at the clearinghouse level; (d) Architecting medical billing workflows for denial management, specifically using 835 Remittance Advice codes to trigger automated appeals and medical necessity reviews.
(6) Up to 25% international travel to Nepal/India is required.
SALARY: $149,989. Learn about our employee benefits here: lftechnology.com/careers. Interested candidates may apply online at lftechnology.com/careers or send resume to sijangurugain@lftechnology.com with job title in subject line.
Minimum of 3 years of experience in security engineering, cloud infrastructure, or a similar field.
Strong understanding of security principles and industry best practices
Proven experience with security technologies, such as firewalls, intrusion detection systems, and encryption
Experience with scripting languages and development frameworks
Familiarity with cloud platforms and containerization technologies
In-depth knowledge of security regulations and industry standards
Strong analytical and problem-solving skills
Excellent communication and collaboration skills
Experience in leading and mentoring security engineering teams
We believe our people are our greatest strength. With perks and benefits, we intend to offer everything our people need to do their best while maintaining a healthy balance between work and personal life.
๐ป Support for resources: Receive a monthly internet and laptop allowance, and request resources for convenient WFH.
๐ 5-day workweek: Enjoy weekends off and return refreshed on Mondays.
๐ Food: Access to healthy meals while on-site.
๐ 'Growth mindset' fund: Investment in your post-grad degree, learning opportunities, and career growth.
๐ถ Child scholarship: Scholarships for your child in selected schools.
๐ Bi-annual bonus: Get timely festival and company bonuses.
๐ธ Advance salary: Request salary in advance.
โ๏ธ Paid time-offs: Annual, sick, compensation, and bereavement leaves.
๐ผ Maternity leave: 3 months of paid leave, 1 month of unpaid leave, and 90 days of reduced workload.
๐ฃ Paternity leave: 11 days of paid paternity leave and reduced workload after.
๐ Menstruation leave: 6 days of paid menstruation leave annually.
๐ฟ Your well-being: Company-funded counseling services from certified therapists as well as COVID care services.
๐ฐ Retirement fund: Social security fund with health and accidental insurance.
๐ Engagement and Events: Team lunch/dinner, company outings, and festival celebrations with your favorite co-workers!
๐ Exposure: Visit and work in the States and build better client rapport.
๐ Recognition: In-house awards, appreciation platforms, and 5th-anniversary gifts!
Lead the design, implementation, and maintenance of security controls and countermeasures
Stay up-to-date with the latest security threats, trends, and best practices
Collaborate with the SecOps team and other departments to ensure security is integrated into processes and systems
Drive the adoption of security tools, processes, and automation across the organization
Develop and maintain the organization's security policies and procedures
Perform security assessments, vulnerability scans, and penetration testing
Lead incident response and investigation efforts in case of security breaches or incidents
Ensure the organization's security practices and systems are compliant with relevant regulations and industry standards
Develop and maintain security-related documentation and knowledge-base articles
Mentor and guide junior SecOps engineers in their professional development
Contribute to the continuous improvement of the SecOps team's processes and tools
Stay current with emerging security technologies and recommend their adoption when appropriate
Lead the design, implementation, and maintenance of security controls and countermeasures
Stay up-to-date with the latest security threats, trends, and best practices
Collaborate with the SecOps team and other departments to ensure security is integrated into processes and systems
Drive the adoption of security tools, processes, and automation across the organization
Develop and maintain the organization's security policies and procedures
Perform security assessments, vulnerability scans, and penetration testing
Lead incident response and investigation efforts in case of security breaches or incidents
Ensure the organization's security practices and systems are compliant with relevant regulations and industry standards
Develop and maintain security-related documentation and knowledge-base articles
Mentor and guide junior SecOps engineers in their professional development
Contribute to the continuous improvement of the SecOps team's processes and tools
Stay current with emerging security technologies and recommend their adoption when appropriate
Minimum of 3 years of experience in security engineering, cloud infrastructure, or a similar field.
Strong understanding of security principles and industry best practices
Proven experience with security technologies, such as firewalls, intrusion detection systems, and encryption
Experience with scripting languages and development frameworks
Familiarity with cloud platforms and containerization technologies
In-depth knowledge of security regulations and industry standards
Strong analytical and problem-solving skills
Excellent communication and collaboration skills
Experience in leading and mentoring security engineering teams
We believe our people are our greatest strength. With perks and benefits, we intend to offer everything our people need to do their best while maintaining a healthy balance between work and personal life.
๐ป Support for resources: Receive a monthly internet and laptop allowance, and request resources for convenient WFH.
๐ 5-day workweek: Enjoy weekends off and return refreshed on Mondays.
๐ Food: Access to healthy meals while on-site.
๐ 'Growth mindset' fund: Investment in your post-grad degree, learning opportunities, and career growth.
๐ถ Child scholarship: Scholarships for your child in selected schools.
๐ Bi-annual bonus: Get timely festival and company bonuses.
๐ธ Advance salary: Request salary in advance.
โ๏ธ Paid time-offs: Annual, sick, compensation, and bereavement leaves.
๐ผ Maternity leave: 3 months of paid leave, 1 month of unpaid leave, and 90 days of reduced workload.
๐ฃ Paternity leave: 11 days of paid paternity leave and reduced workload after.
๐ Menstruation leave: 6 days of paid menstruation leave annually.
๐ฟ Your well-being: Company-funded counseling services from certified therapists as well as COVID care services.
๐ฐ Retirement fund: Social security fund with health and accidental insurance.
๐ Engagement and Events: Team lunch/dinner, company outings, and festival celebrations with your favorite co-workers!
๐ Exposure: Visit and work in the States and build better client rapport.
๐ Recognition: In-house awards, appreciation platforms, and 5th-anniversary gifts!
Education and Experience:
A degree (Master's preferred) in Computer Science, Engineering, Artificial Intelligence, Data Science, Applied Mathematics, or related fields.
Minimum 3+ years of hands-on experience in Machine Learning or Data Science, preferably in real industry settings, with a track record of building data products that have positively impacted customer satisfaction and revenue growth.
Technical Skills:
Proficiency in a wide range of Machine Learning techniques and algorithms, with the ability to apply advanced analytics methods, including Bayesian statistics, clustering, text analysis, time series analysis, and neural networks on large-scale datasets.
Expertise in at least one specialized area of application, such as Computer Vision or Natural Language Processing (NLP). (NLP Expertise Preferred)
Strong programming skills in Python, including expertise in the data ecosystem (Numpy, Scipy, Pandas, etc.) or equivalent skills in languages like R, Java, Scala, or Julia, with a focus on producing production-quality code.
Hands-on experience with popular ML frameworks like Scikit-Learn, PyTorch, or TensorFlow.
Expertise with Generative AI and Large Language Models (LLMs) along with their implementation in real-life applications.
Experience building end-to-end ML systems (MLOps).
Experience in deploying code in web frameworks such as Flask, FastAPI, or Django.
Experience working in a cloud environment like AWS, Azure, or GCP for ML work.
Good grasp of SQL/NoSQL databases and scripting skills, particularly within analytics platforms and data warehouses.
Good grasp of software engineering concepts (SDLC, Version Control, CI/CD, Containerization, Scalability, and so on), programming concepts, and tools/platforms like Git and Docker.
Bonus: Experience with Big Data technologies such as Apache Spark, Kafka, Kinesis, and cloud-based ML platforms like AWS SageMaker or GCP ML Engine.
Bonus: Experience with data visualization and dashboard tools like Tableau or Power BI.
Soft Skills:
Highly motivated, self-driven, entrepreneurial mindset, and capable of solving complex analytical problems under high-pressure situations.
Ability to work with cross-functional and cross-regional teams.
Ability to lead a team of Data/ML professionals and work with senior management, technological experts, and the product team.
Excellent written and verbal communication skills, comfortable with client communication.
Good leadership skills - ability to motivate and mentor team members, ability to plan and make sound decisions, ability to negotiate tactfully with the client and team.
Results-oriented, customer-focused with a passion for resolving tough technical and operational challenges.
Possess excellent analytical and problem-solving abilities.
Good documentation skills.
Experienced with Agile methodologies like Scrum/Kanban
๐ Life at Leapfrog:
Work with talented engineers and remarkable professionals in Nepal, the US, and Europe, building state-of-the-art digital health products.
Have an amazing career growth plan with support from experienced mentors and unlimited learning opportunities.
Be a part of an experienced teamโapply the best industry practices, get mentored by experienced professionals, and be ready to mentor the new ones.
Get exposure to clients who are leading entrepreneurs and startups from Silicon Valley.
Your work will be at the cutting edge of healthcare innovation and make a difference in the lives of thousands of people worldwide.
Get growth opportunities, not just in your work. We organize various internal initiatives where you can be a part of a bigger learning community with webinars, knowledge-sharing sessions (KSS), and internal conferences.
Be a part of a safe workplace where itโs okay to fail fastโ get constructive feedback and grow as you move ahead.
Receive recognition for your contributions and the positive impact you create. We always look for opportunities to celebrate our efforts, play games, and have fun together!
You will have a lot of fun at Leapfrogโ thereโll never be a dull day.
We believe our people are our greatest strength. With perks and benefits, we intend to offer everything our people need to do their best while maintaining a healthy balance between work and personal life.
๐ป Support for resources: Receive a monthly internet and laptop allowance, and request resources for convenient WFH.
๐ 5-day workweek: Enjoy weekends off and return refreshed on Mondays.
๐ Food: Access to healthy meals while on-site.
๐ 'Growth mindset' fund: Investment in your post-grad degree, learning opportunities, and career growth.
๐ถ Child scholarship: Scholarships for your child in selected schools.
๐ Bi-annual bonus: Get timely festival and company bonuses.
๐ธ Advance salary: Request salary in advance.
โ๏ธ Paid time-offs: Annual, sick, compensation, and bereavement leaves.
๐ผ Maternity leave: 3 months of paid leave, 1 month of unpaid leave, and 90 days of reduced workload.
๐ฃ Paternity leave: 11 days of paid paternity leave and reduced workload after.
๐ Menstruation leave: 6 days of paid menstruation leave annually.
๐ฟ Your well-being: Company-funded counseling services from certified therapists as well as COVID care services.
๐ฐ Retirement fund: Social security fund with health and accidental insurance.
๐ Engagement and Events: Team lunch/dinner, company outings, and festival celebrations with your favorite co-workers!
๐ Exposure: Visit and work in the States and build better client rapport.
๐ Recognition: In-house awards, appreciation platforms, and 5th-anniversary gifts!
About Role
As a Senior AI/ML Engineer at Leapfrog Technology, you will be at the forefront of shaping the future of data-driven solutions. You'll contribute significantly to the development of innovative ML projects, lead and mentor a talented team, and work collaboratively across functions to turn complex business challenges into actionable insights.
Technical Leadership: Actively contribute to the design, development, and implementation of ML projects while working collaboratively with a team of ML Engineers and Data Scientists, ensuring technical excellence and innovation.
End-to-End Ownership: Take full ownership of the ML project lifecycle, from ideation and design to development, deployment, and maintenance.
Technological Innovation: Explore and assess emerging technologies to enhance the performance, maintainability, and reliability of ML systems.
Engineering Best Practices: Apply robust software engineering practices to ML, including CI/CD pipelines, automation, and quality assurance.
Architectural Leadership: Collaborate with technology experts to make informed architectural decisions, and ensure thorough technical documentation.
Risk Mitigation: Proactively identify and address project risks, conduct root cause analysis, and implement preventive measures.
Cross-functional Collaboration: Engage closely with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers, to deliver impactful data-driven solutions.
Continuous Learning: Stay at the cutting edge of data science, ML, and AI developments, and leverage emerging technologies to solve complex business problems.
Mentorship and Growth: Coach and motivate team members, identify training needs, and foster their professional development.
Organizational Excellence: Actively uphold and promote the company's culture, processes, and standards to ensure consistent excellence in our work.
About Role
As a Senior AI/ML Engineer at Leapfrog Technology, you will be at the forefront of shaping the future of data-driven solutions. You'll contribute significantly to the development of innovative ML projects, lead and mentor a talented team, and work collaboratively across functions to turn complex business challenges into actionable insights.
Technical Leadership: Actively contribute to the design, development, and implementation of ML projects while working collaboratively with a team of ML Engineers and Data Scientists, ensuring technical excellence and innovation.
End-to-End Ownership: Take full ownership of the ML project lifecycle, from ideation and design to development, deployment, and maintenance.
Technological Innovation: Explore and assess emerging technologies to enhance the performance, maintainability, and reliability of ML systems.
Engineering Best Practices: Apply robust software engineering practices to ML, including CI/CD pipelines, automation, and quality assurance.
Architectural Leadership: Collaborate with technology experts to make informed architectural decisions, and ensure thorough technical documentation.
Risk Mitigation: Proactively identify and address project risks, conduct root cause analysis, and implement preventive measures.
Cross-functional Collaboration: Engage closely with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers, to deliver impactful data-driven solutions.
Continuous Learning: Stay at the cutting edge of data science, ML, and AI developments, and leverage emerging technologies to solve complex business problems.
Mentorship and Growth: Coach and motivate team members, identify training needs, and foster their professional development.
Organizational Excellence: Actively uphold and promote the company's culture, processes, and standards to ensure consistent excellence in our work.
Education and Experience:
A degree (Master's preferred) in Computer Science, Engineering, Artificial Intelligence, Data Science, Applied Mathematics, or related fields.
Minimum 3+ years of hands-on experience in Machine Learning or Data Science, preferably in real industry settings, with a track record of building data products that have positively impacted customer satisfaction and revenue growth.
Technical Skills:
Proficiency in a wide range of Machine Learning techniques and algorithms, with the ability to apply advanced analytics methods, including Bayesian statistics, clustering, text analysis, time series analysis, and neural networks on large-scale datasets.
Expertise in at least one specialized area of application, such as Computer Vision or Natural Language Processing (NLP). (NLP Expertise Preferred)
Strong programming skills in Python, including expertise in the data ecosystem (Numpy, Scipy, Pandas, etc.) or equivalent skills in languages like R, Java, Scala, or Julia, with a focus on producing production-quality code.
Hands-on experience with popular ML frameworks like Scikit-Learn, PyTorch, or TensorFlow.
Expertise with Generative AI and Large Language Models (LLMs) along with their implementation in real-life applications.
Experience building end-to-end ML systems (MLOps).
Experience in deploying code in web frameworks such as Flask, FastAPI, or Django.
Experience working in a cloud environment like AWS, Azure, or GCP for ML work.
Good grasp of SQL/NoSQL databases and scripting skills, particularly within analytics platforms and data warehouses.
Good grasp of software engineering concepts (SDLC, Version Control, CI/CD, Containerization, Scalability, and so on), programming concepts, and tools/platforms like Git and Docker.
Bonus: Experience with Big Data technologies such as Apache Spark, Kafka, Kinesis, and cloud-based ML platforms like AWS SageMaker or GCP ML Engine.
Bonus: Experience with data visualization and dashboard tools like Tableau or Power BI.
Soft Skills:
Highly motivated, self-driven, entrepreneurial mindset, and capable of solving complex analytical problems under high-pressure situations.
Ability to work with cross-functional and cross-regional teams.
Ability to lead a team of Data/ML professionals and work with senior management, technological experts, and the product team.
Excellent written and verbal communication skills, comfortable with client communication.
Good leadership skills - ability to motivate and mentor team members, ability to plan and make sound decisions, ability to negotiate tactfully with the client and team.
Results-oriented, customer-focused with a passion for resolving tough technical and operational challenges.
Possess excellent analytical and problem-solving abilities.
Good documentation skills.
Experienced with Agile methodologies like Scrum/Kanban
๐ Life at Leapfrog:
Work with talented engineers and remarkable professionals in Nepal, the US, and Europe, building state-of-the-art digital health products.
Have an amazing career growth plan with support from experienced mentors and unlimited learning opportunities.
Be a part of an experienced teamโapply the best industry practices, get mentored by experienced professionals, and be ready to mentor the new ones.
Get exposure to clients who are leading entrepreneurs and startups from Silicon Valley.
Your work will be at the cutting edge of healthcare innovation and make a difference in the lives of thousands of people worldwide.
Get growth opportunities, not just in your work. We organize various internal initiatives where you can be a part of a bigger learning community with webinars, knowledge-sharing sessions (KSS), and internal conferences.
Be a part of a safe workplace where itโs okay to fail fastโ get constructive feedback and grow as you move ahead.
Receive recognition for your contributions and the positive impact you create. We always look for opportunities to celebrate our efforts, play games, and have fun together!
You will have a lot of fun at Leapfrogโ thereโll never be a dull day.
We believe our people are our greatest strength. With perks and benefits, we intend to offer everything our people need to do their best while maintaining a healthy balance between work and personal life.
๐ป Support for resources: Receive a monthly internet and laptop allowance, and request resources for convenient WFH.
๐ 5-day workweek: Enjoy weekends off and return refreshed on Mondays.
๐ Food: Access to healthy meals while on-site.
๐ 'Growth mindset' fund: Investment in your post-grad degree, learning opportunities, and career growth.
๐ถ Child scholarship: Scholarships for your child in selected schools.
๐ Bi-annual bonus: Get timely festival and company bonuses.
๐ธ Advance salary: Request salary in advance.
โ๏ธ Paid time-offs: Annual, sick, compensation, and bereavement leaves.
๐ผ Maternity leave: 3 months of paid leave, 1 month of unpaid leave, and 90 days of reduced workload.
๐ฃ Paternity leave: 11 days of paid paternity leave and reduced workload after.
๐ Menstruation leave: 6 days of paid menstruation leave annually.
๐ฟ Your well-being: Company-funded counseling services from certified therapists as well as COVID care services.
๐ฐ Retirement fund: Social security fund with health and accidental insurance.
๐ Engagement and Events: Team lunch/dinner, company outings, and festival celebrations with your favorite co-workers!
๐ Exposure: Visit and work in the States and build better client rapport.
๐ Recognition: In-house awards, appreciation platforms, and 5th-anniversary gifts!
5+ years of experience with 2-3 years in people management, engineering management, staff management, or a similar leadership role within a technology organization.
Experience managing, mentoring, or developing software/technology professionals.
Strong understanding of people management, performance management, career development, and employee engagement.
Ability to understand technical roles, engineering career paths, and competency expectations sufficiently to support engineers effectively.
Experience creating or managing development plans, performance goals, competency assessments, or similar development frameworks.
Strong communication and interpersonal skills, with the ability to have difficult and constructive conversations.
Strong organizational and execution skills, with the ability to manage multiple people-related initiatives simultaneously.
Strong problem-solving and decision-making skills, with a practical and execution-focused mindset.
Comfortable working with data, documentation, and people-management metrics to support informed decisions.
A growth mindset and genuine interest in helping people develop and succeed.
Good to Have
Experience working in a software engineering, IT services, or technology organization.
Familiarity with engineering competency frameworks and career progression models.
Experience supporting hiring, technical interviews, onboarding, staffing, or workforce planning.
Experience working with OKRs, performance management cycles, or organizational development programs.
Experience managing teams across multiple projects or technical disciplines.
Familiarity with HRIS, performance management, employee engagement, or people analytics tools.
Basic understanding of software engineering practices and different technology roles.
Please provide authentic answers based on your own experience.
AI-generated or misleading responses will not be entertained and may result in immediate disqualification from the selection process.ย Please keep each response concise, with approximately 100 words or fewer.
Please provide authentic answers based on your own experience.
AI-generated or misleading responses will not be entertained and may result in immediate disqualification from the selection process.ย Please keep each response concise, with approximately 100 words or fewer.
About the Role
As a Staff Manager, you will play a key role in supporting the growth, performance, wellbeing, and engagement of our engineering teams. You will be responsible for managing a group of engineers, enabling their career development, supporting their project and staffing needs, and ensuring effective execution of department strategic initiatives.
You will work closely with Senior Managers, Engineering Managers, and other cross-functional stakeholders to translate organizational priorities into effective day-to-day execution.
This role is ideal for someone who enjoys working with people, creating clarity, solving operational challenges, and helping engineers grow. You will have ownership of initiatives within your scope and will be expected to identify practical improvements based on your experience and execution learnings.
Key Responsibilities
People Management & Employee Experience
Lead the overall growth, engagement, wellbeing, appraisal and performance management of engineers.
Build strong relationships through regular one on one check-ins, feedback, career conversations, and timely support.
Address employee concerns, performance challenges, and conflicts constructively and proactively.
Career Development & Growth
Understand engineers' skills, aspirations, and development needs and translate them into meaningful growth plans.
Identify skill gaps and appropriate development, mentoring, and upskilling opportunities.
Support engineers through career progression, performance reviews, and continuous development.
Staff Management Initiatives & Operational Excellence
Own and deliver assigned strategic initiatives within defined scope, timelines, and quality expectations.
Identify execution gaps and recommend practical improvements to strengthen operational effectiveness.
Staffing & Workforce Planning
Partner with Talent Acquisition and Operations to support hiring, onboarding, staffing, and project alignment.
Support effective project alignment by understanding team capabilities, availability, and business needs.
Identify staffing risks and coordinate with stakeholders to address capacity and resource requirements.
Organizational Alignment
Execute departmental priorities and OKRs in collaboration with Senior Staff Managers and Engineering Managers.
Provide practical insights and recommendations based on team and operational needs.
Collaborate across functions to ensure consistent execution of Staff Management practices.
About the Role
As a Staff Manager, you will play a key role in supporting the growth, performance, wellbeing, and engagement of our engineering teams. You will be responsible for managing a group of engineers, enabling their career development, supporting their project and staffing needs, and ensuring effective execution of department strategic initiatives.
You will work closely with Senior Managers, Engineering Managers, and other cross-functional stakeholders to translate organizational priorities into effective day-to-day execution.
This role is ideal for someone who enjoys working with people, creating clarity, solving operational challenges, and helping engineers grow. You will have ownership of initiatives within your scope and will be expected to identify practical improvements based on your experience and execution learnings.
Key Responsibilities
People Management & Employee Experience
Lead the overall growth, engagement, wellbeing, appraisal and performance management of engineers.
Build strong relationships through regular one on one check-ins, feedback, career conversations, and timely support.
Address employee concerns, performance challenges, and conflicts constructively and proactively.
Career Development & Growth
Understand engineers' skills, aspirations, and development needs and translate them into meaningful growth plans.
Identify skill gaps and appropriate development, mentoring, and upskilling opportunities.
Support engineers through career progression, performance reviews, and continuous development.
Staff Management Initiatives & Operational Excellence
Own and deliver assigned strategic initiatives within defined scope, timelines, and quality expectations.
Identify execution gaps and recommend practical improvements to strengthen operational effectiveness.
Staffing & Workforce Planning
Partner with Talent Acquisition and Operations to support hiring, onboarding, staffing, and project alignment.
Support effective project alignment by understanding team capabilities, availability, and business needs.
Identify staffing risks and coordinate with stakeholders to address capacity and resource requirements.
Organizational Alignment
Execute departmental priorities and OKRs in collaboration with Senior Staff Managers and Engineering Managers.
Provide practical insights and recommendations based on team and operational needs.
Collaborate across functions to ensure consistent execution of Staff Management practices.
5+ years of experience with 2-3 years in people management, engineering management, staff management, or a similar leadership role within a technology organization.
Experience managing, mentoring, or developing software/technology professionals.
Strong understanding of people management, performance management, career development, and employee engagement.
Ability to understand technical roles, engineering career paths, and competency expectations sufficiently to support engineers effectively.
Experience creating or managing development plans, performance goals, competency assessments, or similar development frameworks.
Strong communication and interpersonal skills, with the ability to have difficult and constructive conversations.
Strong organizational and execution skills, with the ability to manage multiple people-related initiatives simultaneously.
Strong problem-solving and decision-making skills, with a practical and execution-focused mindset.
Comfortable working with data, documentation, and people-management metrics to support informed decisions.
A growth mindset and genuine interest in helping people develop and succeed.
Good to Have
Experience working in a software engineering, IT services, or technology organization.
Familiarity with engineering competency frameworks and career progression models.
Experience supporting hiring, technical interviews, onboarding, staffing, or workforce planning.
Experience working with OKRs, performance management cycles, or organizational development programs.
Experience managing teams across multiple projects or technical disciplines.
Familiarity with HRIS, performance management, employee engagement, or people analytics tools.
Basic understanding of software engineering practices and different technology roles.
A degree (Masterโs preferred) in Computer Science, Engineering, Artificial Intelligence, Data Science, Applied Mathematics, or a related field.
10+ years of experience in the software industry, with demonstrated experience architecting large-scale solutions.
AWS Certified Solutions Architect (Professional preferred).
Strong command of the Cloud Well-Architected Framework and a track record of applying it in real-world engagements.
Proven ability to estimate and right-size engagements โ timelines, team sizing, cost analysis, and capacity planning.
Demonstrable experience with application scalability, availability, and performance.
Experience leading the end-to-end SDLC, with working knowledge of AI-powered SDLC practices and tools.
Experience working with Generative AI, LLMs, and agentic orchestration, and applying them in real-world applications.
Expert-level knowledge of cloud-native architecture on AWS; familiarity with GCP or Azure is a plus.
Strong knowledge of distributed systems and cloud architecture, microservices, event-driven design, and API-led integration.
In-depth knowledge of one or more programming languages.
Well-acquainted with software compliance, policies, and industry standards.
Strong business acumen with excellent communication and negotiation skills across executive and technical audiences.
Excellent skills in authoring and presenting architecture artifacts โ solution blueprints, architecture decision records (ADRs), HLD/LLD documents, and technical proposals โ to engineering teams and executive stakeholders.
Good project management skills, with experience managing and planning resources and product deliverables.
About Leapfrog
Leapfrog is on a mission to be a role model technology company. Since 2010, we have relentlessly worked on crafting better digital products with our team of superior engineers. Weโre a full-stack company specializing in SaaS products and have served over 100 clients with our mastery of emerging technologies.
Weโre thinkers and doers, creatives and coders, makers and builders โ but most importantly, we are trusted partners with world-class engineers. Hundreds of companies in Boston, Seattle, Silicon Valley, and San Francisco choose us to gain speed, agility, quality, and stability, giving them an edge over their competitors.
About the Role
We are looking for a Solution Architect who operates at the intersection of business and technology. In this role, you will lead client conversations from discovery through delivery โ developing a deep understanding of business goals and end-customer needs, and shaping solutions that are technically sound, commercially viable, and built to scale. You will own architecture decisions across large-scale engagements, guide cross-functional teams through the full software development lifecycle, and champion modern, AI-powered engineering practices across projects.
Key Responsibilities
Client Engagement & Discovery
Lead client conversations through the design and discovery phases of new and existing projects, acting as a trusted technical advisor.
Build a strong understanding of each clientโs business domain, objectives, and end-customer needs, and shape solutions accordingly.
Gather and analyze business requirements, and plan the product roadmap in collaboration with the project manager and the client.
Ideate and evaluate solution options with stakeholders, balancing business value with technical feasibility.
Architecture & Solution Design
Lead and oversee solution analysis, architecture design, and technical documentation across engagements.
Architecture & Solution Design
Lead and oversee solution analysis, architecture design, and technical documentation across engagements.
Design architectures grounded in the AWS Well-Architected Framework โ operational excellence, security, reliability, performance efficiency, cost optimization, and sustainability.
Ensure solutions meet scalability, availability, and performance objectives from the outset.
Estimation & Delivery Planning
Right-size engagements with credible estimates for timelines, team size and composition, and cost.
Decide the right balance of project deliverables based on resources, cost, effort, and time.
Lead the end-to-end software development lifecycle โ from discovery and design through build, deployment, and handover.
Embed AI-powered SDLC practices and tooling to raise delivery velocity and engineering quality.
Leadership & Collaboration
Lead cross-functional teams to achieve project and organizational goals.
Comply with all professional, departmental, and company best practices.
Regularly inspect and improve project delivery and engineering processes.
About Leapfrog
Leapfrog is on a mission to be a role model technology company. Since 2010, we have relentlessly worked on crafting better digital products with our team of superior engineers. Weโre a full-stack company specializing in SaaS products and have served over 100 clients with our mastery of emerging technologies.
Weโre thinkers and doers, creatives and coders, makers and builders โ but most importantly, we are trusted partners with world-class engineers. Hundreds of companies in Boston, Seattle, Silicon Valley, and San Francisco choose us to gain speed, agility, quality, and stability, giving them an edge over their competitors.
About the Role
We are looking for a Solution Architect who operates at the intersection of business and technology. In this role, you will lead client conversations from discovery through delivery โ developing a deep understanding of business goals and end-customer needs, and shaping solutions that are technically sound, commercially viable, and built to scale. You will own architecture decisions across large-scale engagements, guide cross-functional teams through the full software development lifecycle, and champion modern, AI-powered engineering practices across projects.
Key Responsibilities
Client Engagement & Discovery
Lead client conversations through the design and discovery phases of new and existing projects, acting as a trusted technical advisor.
Build a strong understanding of each clientโs business domain, objectives, and end-customer needs, and shape solutions accordingly.
Gather and analyze business requirements, and plan the product roadmap in collaboration with the project manager and the client.
Ideate and evaluate solution options with stakeholders, balancing business value with technical feasibility.
Architecture & Solution Design
Lead and oversee solution analysis, architecture design, and technical documentation across engagements.
Architecture & Solution Design
Lead and oversee solution analysis, architecture design, and technical documentation across engagements.
Design architectures grounded in the AWS Well-Architected Framework โ operational excellence, security, reliability, performance efficiency, cost optimization, and sustainability.
Ensure solutions meet scalability, availability, and performance objectives from the outset.
Estimation & Delivery Planning
Right-size engagements with credible estimates for timelines, team size and composition, and cost.
Decide the right balance of project deliverables based on resources, cost, effort, and time.
Lead the end-to-end software development lifecycle โ from discovery and design through build, deployment, and handover.
Embed AI-powered SDLC practices and tooling to raise delivery velocity and engineering quality.
Leadership & Collaboration
Lead cross-functional teams to achieve project and organizational goals.
Comply with all professional, departmental, and company best practices.
Regularly inspect and improve project delivery and engineering processes.
A degree (Masterโs preferred) in Computer Science, Engineering, Artificial Intelligence, Data Science, Applied Mathematics, or a related field.
10+ years of experience in the software industry, with demonstrated experience architecting large-scale solutions.
AWS Certified Solutions Architect (Professional preferred).
Strong command of the Cloud Well-Architected Framework and a track record of applying it in real-world engagements.
Proven ability to estimate and right-size engagements โ timelines, team sizing, cost analysis, and capacity planning.
Demonstrable experience with application scalability, availability, and performance.
Experience leading the end-to-end SDLC, with working knowledge of AI-powered SDLC practices and tools.
Experience working with Generative AI, LLMs, and agentic orchestration, and applying them in real-world applications.
Expert-level knowledge of cloud-native architecture on AWS; familiarity with GCP or Azure is a plus.
Strong knowledge of distributed systems and cloud architecture, microservices, event-driven design, and API-led integration.
In-depth knowledge of one or more programming languages.
Well-acquainted with software compliance, policies, and industry standards.
Strong business acumen with excellent communication and negotiation skills across executive and technical audiences.
Excellent skills in authoring and presenting architecture artifacts โ solution blueprints, architecture decision records (ADRs), HLD/LLD documents, and technical proposals โ to engineering teams and executive stakeholders.
Good project management skills, with experience managing and planning resources and product deliverables.
5+ years of software engineering experience, with at least 3+ years focused on Golang development
Strong experience building scalable distributed systems, RESTful APIs, and backend services
Proficiency with Go frameworks and tools such as Gin, Echo, Fiber, GORM, or similar
Strong understanding of concurrency, multithreading, and Go internals
Experience with relational and NoSQL databases, especially MongoDB and PostgreSQL
Familiarity with event-driven architecture, message queues, and asynchronous processing
Experience working with cloud platforms, preferably Google Cloud Platform (GCP)
Experience with Docker, Kubernetes, and containerized deployments
Familiarity with CI/CD tools such as Concourse, GitHub Actions, Jenkins, or GitLab CI
Strong understanding of software design principles, clean architecture, and system design
Experience with unit testing, integration testing, and Test Driven Development (TDD)
Strong debugging, problem-solving, and communication skills
Experience working in Agile/Scrum development environments
We believe our people are our greatest strength. With perks and benefits, we intend to offer everything our people need to do their best while maintaining a healthy balance between work and personal life.
๐ป Support for resources: Receive a monthly internet and laptop allowance, and request resources for convenient WFH.
๐ 5-day workweek: Enjoy weekends off and return refreshed on Mondays.
๐ Food: Access to healthy meals while on-site.
๐ 'Growth mindset' fund: Investment in your post-grad degree, learning opportunities, and career growth.
๐ถ Child scholarship: Scholarships for your child in selected schools.
๐ Bi-annual bonus: Get timely festival and company bonuses.
๐ธ Advance salary: Request salary in advance.
โ๏ธ Paid time-offs: Annual, sick, compensation, and bereavement leaves.
๐ผ Maternity leave: 3 months of paid leave, 1 month of unpaid leave, and 90 days of reduced workload.
๐ฃ Paternity leave: 11 days of paid paternity leave and reduced workload after.
๐ Menstruation leave: 6 days of paid menstruation leave annually.
๐ฟ Your well-being: Company-funded counseling services from certified therapists as well as COVID care services.
๐ฐ Retirement fund: Social security fund with health and accidental insurance.
๐ Engagement and Events: Team lunch/dinner, company outings, and festival celebrations with your favorite co-workers!
๐ Exposure: Visit and work in the States and build better client rapport.
๐ Recognition: In-house awards, appreciation platforms, and 5th-anniversary gifts!
Leapfrog is on a mission to be a role model technology company. Since 2010, we have relentlessly worked on crafting better digital products with our team of superior engineers. Weโre a full-stack company specializing in SaaS products and have served over 100 clients with our mastery of emerging technologies.
Weโre thinkers and doers, creatives and coders, makers and buildersโ but most importantly, we are trusted partners with world-class engineers. Hundreds of companies in Boston, Seattle, Silicon Valley, and San Francisco choose us to gain speed, agility, quality, and stability, giving them an edge over their competitors.
About the role
We are looking for a Senior Engineer to join our engineering team. In this role, you will be responsible for solving complex technical and business challenges. You will have the opportunity to design and develop large-scale applications, contributing to the architecture and implementation of new products. Additionally, you will play a key role in shaping the technical strategy and providing thought leadership in software engineering.
Design, develop, and maintain scalable microservices and APIs using Golang
Build fault-tolerant, secure, and high-performance backend systems
Collaborate with product managers, designers, and engineers in a cross-functional environment
Implement new platform features, integrations, and internal tooling
Participate in system architecture discussions and technical decision-making
Write clean, maintainable, and well-tested code following engineering best practices
Perform code reviews and contribute to improving development standards
Develop automated unit and integration tests using TDD practices
Optimize application performance, reliability, and scalability
Contribute to CI/CD pipelines and deployment automation
Monitor production systems and troubleshoot complex technical issues
Mentor junior engineers and provide technical guidance
Align engineering solutions with business goals and customer needs
Leapfrog is on a mission to be a role model technology company. Since 2010, we have relentlessly worked on crafting better digital products with our team of superior engineers. Weโre a full-stack company specializing in SaaS products and have served over 100 clients with our mastery of emerging technologies.
Weโre thinkers and doers, creatives and coders, makers and buildersโ but most importantly, we are trusted partners with world-class engineers. Hundreds of companies in Boston, Seattle, Silicon Valley, and San Francisco choose us to gain speed, agility, quality, and stability, giving them an edge over their competitors.
About the role
We are looking for a Senior Engineer to join our engineering team. In this role, you will be responsible for solving complex technical and business challenges. You will have the opportunity to design and develop large-scale applications, contributing to the architecture and implementation of new products. Additionally, you will play a key role in shaping the technical strategy and providing thought leadership in software engineering.
Design, develop, and maintain scalable microservices and APIs using Golang
Build fault-tolerant, secure, and high-performance backend systems
Collaborate with product managers, designers, and engineers in a cross-functional environment
Implement new platform features, integrations, and internal tooling
Participate in system architecture discussions and technical decision-making
Write clean, maintainable, and well-tested code following engineering best practices
Perform code reviews and contribute to improving development standards
Develop automated unit and integration tests using TDD practices
Optimize application performance, reliability, and scalability
Contribute to CI/CD pipelines and deployment automation
Monitor production systems and troubleshoot complex technical issues
Mentor junior engineers and provide technical guidance
Align engineering solutions with business goals and customer needs
5+ years of software engineering experience, with at least 3+ years focused on Golang development
Strong experience building scalable distributed systems, RESTful APIs, and backend services
Proficiency with Go frameworks and tools such as Gin, Echo, Fiber, GORM, or similar
Strong understanding of concurrency, multithreading, and Go internals
Experience with relational and NoSQL databases, especially MongoDB and PostgreSQL
Familiarity with event-driven architecture, message queues, and asynchronous processing
Experience working with cloud platforms, preferably Google Cloud Platform (GCP)
Experience with Docker, Kubernetes, and containerized deployments
Familiarity with CI/CD tools such as Concourse, GitHub Actions, Jenkins, or GitLab CI
Strong understanding of software design principles, clean architecture, and system design
Experience with unit testing, integration testing, and Test Driven Development (TDD)
Strong debugging, problem-solving, and communication skills
Experience working in Agile/Scrum development environments
We believe our people are our greatest strength. With perks and benefits, we intend to offer everything our people need to do their best while maintaining a healthy balance between work and personal life.
๐ป Support for resources: Receive a monthly internet and laptop allowance, and request resources for convenient WFH.
๐ 5-day workweek: Enjoy weekends off and return refreshed on Mondays.
๐ Food: Access to healthy meals while on-site.
๐ 'Growth mindset' fund: Investment in your post-grad degree, learning opportunities, and career growth.
๐ถ Child scholarship: Scholarships for your child in selected schools.
๐ Bi-annual bonus: Get timely festival and company bonuses.
๐ธ Advance salary: Request salary in advance.
โ๏ธ Paid time-offs: Annual, sick, compensation, and bereavement leaves.
๐ผ Maternity leave: 3 months of paid leave, 1 month of unpaid leave, and 90 days of reduced workload.
๐ฃ Paternity leave: 11 days of paid paternity leave and reduced workload after.
๐ Menstruation leave: 6 days of paid menstruation leave annually.
๐ฟ Your well-being: Company-funded counseling services from certified therapists as well as COVID care services.
๐ฐ Retirement fund: Social security fund with health and accidental insurance.
๐ Engagement and Events: Team lunch/dinner, company outings, and festival celebrations with your favorite co-workers!
๐ Exposure: Visit and work in the States and build better client rapport.
๐ Recognition: In-house awards, appreciation platforms, and 5th-anniversary gifts!
3+ years backend or full-stack experience; strong API design and consumption skills
Proven experience integrating LLM APIs (any major provider) into production applications, not just prototypes
Proficiency in Python and/or TypeScript/Node.js
Hands-on experience with RAG: vector databases (Pinecone, Weaviate, pgvector etc), embedding models, chunking strategies.
Understanding of prompt engineering: system prompts, few-shot examples, chain-of-thought, structured output
Solid grasp of API security, rate limiting, cost management for LLM-based services
Experience with AWS or another major cloud platform
Desirable Skills:
Experience with agentic frameworks: AgentCore, LangChain, LlamaIndex,
CrewAI, AutoGen, or similar
Familiarity with multi-modal AI (vision, audio) or function calling / tool use
Understanding of fine-tuning workflows even if not hands-on
Experience using AI coding assistants to accelerate their own development workflow
Work with talented engineers and remarkable professionals in Nepal, the US and Europe, building state-of-the-art digital health products.
Have an amazing career growth plan with support from experienced mentors and unlimited learning opportunities.
Be a part of an experienced teamโapply the best industry practices, get mentored by experienced professionals and be ready to mentor the new ones.
Get exposure to clients who are leading entrepreneurs and startups from Silicon Valley.
Your work will be at the cutting edge of healthcare innovation and make a difference in the lives of thousands of people worldwide.
You will get the flexibility to work remotely or in the officeโ we value accountable freedom.
Get growth opportunities, not just in your work. We organize various internal initiatives where you can be a part of a bigger learning community with webinars, Knowledge Sharing Sessions (KSS), and internal conferences.
Be a part of a safe workplace where itโs okay to fail fast, get constructive feedback and grow as you move ahead.
Get recognized for your work and all the changes you will make. We always look for, NO, create opportunities to celebrate efforts, play games, and have fun together!
You will have a lot of fun at Leapfrog, thereโll never be a dull day.
๐ Benefits and perks:
We believe our people are our greatest strength. With perks and benefits, we intend to offer everything our people need to do their best while maintaining a healthy balance between work and personal life.
Daily Work Support
๐ Hybrid work: Work from office or home, depending on our flexible roster
๐ป Support for resources: Receive a monthly internet and laptop allowance, and request resources for convenient WFH.
๐ 5-day workweek: Enjoy weekends off and return refreshed on Mondays.
๐ Food: Access to healthy meals while on-site.
Professional Growth
๐ 'Growth mindset' fund: Investment in your post-grad degree, learning opportunities, and career growth.
๐ถ Child scholarship: Scholarships for your child in selected schools.
๐ Bi-annual bonus: Get timely festival and company bonuses.
Work/Life Balance
โ๏ธ Paid time-offs: Annual, sick, well-being, and bereavement leaves.
๐ผ Maternity leave: 3 months of paid leave, 1 month of unpaid leave, and 90 days of reduced workload.
๐ฃ Paternity leave: 15 days of paid paternity leave and 30 days work from home option after that.
๐ Menstruation leave: 6 days of paid menstruation leave annually.
We take care of you
๐ฟ Your well-being: Company-funded counseling services from certified therapists as well as COVID care services.
๐ฐ Retirement fund: Social security fund with health and accidental insurance.
๐ธ Bank loan for eligible employees: Access bank loans processing through our partner banks.
Celebrating your efforts
๐ Engagement and Events: Team lunch/dinner, company outings, and festival celebrations with your favorite co-workers!
๐ Exposure: Visit and work in the States and build better client rapport.
๐ Recognition: In-house awards, appreciation platforms, and benefits at key tenure years.
","hybrid":true,"close_at":null,"published_at":"2026-08-18 05:16:40 UTC","options_photo":"off","open_questions":[{"id":4094752,"position":1,"options":{},"required":true,"body":"Mention your years of experience in machine learning.","kind":"string","translations":{"en":{"body":"Mention your years of experience in machine learning."}},"open_question_options":[]},{"id":4094748,"position":2,"options":{},"required":true,"body":"\"Have you built applications that integrate LLM APIs or AI services into production products? ","kind":"string","translations":{"en":{"body":"\"Have you built applications that integrate LLM APIs or AI services into production products? "}},"open_question_options":[]},{"id":4126937,"position":3,"options":{},"required":true,"body":"Which LLM APIs have you integrated into production systems, and in what type of application?","kind":"string","translations":{"en":{"body":"Which LLM APIs have you integrated into production systems, and in what type of application?"}},"open_question_options":[]},{"id":4094749,"position":4,"options":{},"required":true,"body":"Take me through the architecture, what did you connect, how did you handle reliability, and what broke in production?\"","kind":"string","translations":{"en":{"body":"Take me through the architecture, what did you connect, how did you handle reliability, and what broke in production?\""}},"open_question_options":[]},{"id":4126941,"position":5,"options":{},"required":true,"body":"Briefly describe a RAG pipeline you have built (tools used and your role).","kind":"string","translations":{"en":{"body":"Briefly describe a RAG pipeline you have built (tools used and your role)."}},"open_question_options":[]},{"id":4126939,"position":6,"options":{},"required":true,"body":"In one sentence, how do you ensure reliability when calling LLM APIs in production?","kind":"string","translations":{"en":{"body":"In one sentence, how do you ensure reliability when calling LLM APIs in production?"}},"open_question_options":[]},{"id":4094762,"position":7,"options":{},"required":true,"body":"What cloud platforms have you worked with for ML model deployment?","kind":"multi_choice","translations":{"en":{"body":"What cloud platforms have you worked with for ML model deployment?"}},"open_question_options":[{"id":6292334,"position":0,"body":"AWS","translations":{"en":{"body":"AWS"}}},{"id":6292335,"position":1,"body":"GCP","translations":{"en":{"body":"GCP"}}},{"id":6292336,"position":2,"body":"Azure","translations":{"en":{"body":"Azure"}}},{"id":6292337,"position":3,"body":"Others","translations":{"en":{"body":"Others"}}}]},{"id":4126942,"position":8,"options":{},"required":true,"body":"How do you manage prompt quality and consistency across a production system?","kind":"string","translations":{"en":{"body":"How do you manage prompt quality and consistency across a production system?"}},"open_question_options":[]},{"id":4126943,"position":9,"options":{},"required":true,"body":"What factors do you consider to control cost and latency in LLM-based applications?","kind":"string","translations":{"en":{"body":"What factors do you consider to control cost and latency in LLM-based applications?"}},"open_question_options":[]},{"id":4126944,"position":10,"options":{},"required":true,"body":"Describe one challenge you faced while integrating AI into a product and how you solved it.","kind":"string","translations":{"en":{"body":"Describe one challenge you faced while integrating AI into a product and how you solved it."}},"open_question_options":[]},{"id":4094750,"position":11,"options":{},"required":true,"body":"If offered the position, how soon could you join our company?","kind":"string","translations":{"en":{"body":"If offered the position, how soon could you join our company?"}},"open_question_options":[]},{"id":4094765,"position":12,"options":{},"required":false,"body":"If you have been referred by someone from Leapfrog, please do mention their full name.","kind":"string","translations":{"en":{"body":"If you have been referred by someone from Leapfrog, please do mention their full name."}},"open_question_options":[]}],"country":"Nepal","company_name":"Leapfrog Technology","tags":[],"options_phone":"required","department":"Development","state_code":"P3","cover_image":null,"slug":"ai-integration-engineer-1","country_code":"NP","options_salutation":"off","title":"AI Integration Engineer","max_hours_per_week":null,"highlight":null,"description":"The AI Integration Engineer builds the connective tissue between LLM APIs, existing product systems, and end users. They are not training models. They are integrating, orchestrating, and deploying AI capabilities into production software, reliably, securely, and at scale.
Key Responsibilities:
โ Integrate LLM APIs (Anthropic Claude, OpenAI GPT-4o, AWS Bedrock, Google
Gemini) into backend services and user-facing products
โ Design and implement RAG pipelines: document ingestion, chunking strategy,
vector store selection, retrieval tuning
โ Build agentic workflows using frameworks such as AgentCore, LangChain,
LlamaIndex, or custom orchestration patterns
โ Manage prompt engineering, prompt versioning, and prompt evaluation
frameworks
โ Implement guardrails for LLM outputs: validation, content filtering, fallback logic
โ Monitor AI system performance: latency, cost-per-query, accuracy drift, token
usage
โ Collaborate with frontend engineers to surface AI capabilities in product UIs
โ Own the AI integration layer in the SDLC, from spec to CI/CD to production
observability
","state_name":"Bagmati","min_hours_per_week":null,"locations":[{"id":40183,"name":"Kathmandu","state":"Bagmati","country":"Nepal","city":"Kathmandu","translations":{"en":{"name":"Kathmandu","city":"Kathmandu","postal_code":null,"street":null,"note":null}},"country_code":"NP","postal_code":null,"state_code":"P3","street":null,"note":null}],"remote":false,"salary":{"max":null,"min":null,"period":null,"currency":null},"translations":{"en":{"description":"The AI Integration Engineer builds the connective tissue between LLM APIs, existing product systems, and end users. They are not training models. They are integrating, orchestrating, and deploying AI capabilities into production software, reliably, securely, and at scale.
Key Responsibilities:
โ Integrate LLM APIs (Anthropic Claude, OpenAI GPT-4o, AWS Bedrock, Google
Gemini) into backend services and user-facing products
โ Design and implement RAG pipelines: document ingestion, chunking strategy,
vector store selection, retrieval tuning
โ Build agentic workflows using frameworks such as AgentCore, LangChain,
LlamaIndex, or custom orchestration patterns
โ Manage prompt engineering, prompt versioning, and prompt evaluation
frameworks
โ Implement guardrails for LLM outputs: validation, content filtering, fallback logic
โ Monitor AI system performance: latency, cost-per-query, accuracy drift, token
usage
โ Collaborate with frontend engineers to surface AI capabilities in product UIs
โ Own the AI integration layer in the SDLC, from spec to CI/CD to production
observability
","title":"AI Integration Engineer","highlight":null,"sharing_image":"https://recruitee-main.s3.eu-central-1.amazonaws.com/offers/2583946/normal_sharing_3ko9ubfvlvy4.png","requirements":"3+ years backend or full-stack experience; strong API design and consumption skills
Proven experience integrating LLM APIs (any major provider) into production applications, not just prototypes
Proficiency in Python and/or TypeScript/Node.js
Hands-on experience with RAG: vector databases (Pinecone, Weaviate, pgvector etc), embedding models, chunking strategies.
Understanding of prompt engineering: system prompts, few-shot examples, chain-of-thought, structured output
Solid grasp of API security, rate limiting, cost management for LLM-based services
Experience with AWS or another major cloud platform
Desirable Skills:
Experience with agentic frameworks: AgentCore, LangChain, LlamaIndex,
CrewAI, AutoGen, or similar
Familiarity with multi-modal AI (vision, audio) or function calling / tool use
Understanding of fine-tuning workflows even if not hands-on
Experience using AI coding assistants to accelerate their own development workflow
Work with talented engineers and remarkable professionals in Nepal, the US and Europe, building state-of-the-art digital health products.
Have an amazing career growth plan with support from experienced mentors and unlimited learning opportunities.
Be a part of an experienced teamโapply the best industry practices, get mentored by experienced professionals and be ready to mentor the new ones.
Get exposure to clients who are leading entrepreneurs and startups from Silicon Valley.
Your work will be at the cutting edge of healthcare innovation and make a difference in the lives of thousands of people worldwide.
You will get the flexibility to work remotely or in the officeโ we value accountable freedom.
Get growth opportunities, not just in your work. We organize various internal initiatives where you can be a part of a bigger learning community with webinars, Knowledge Sharing Sessions (KSS), and internal conferences.
Be a part of a safe workplace where itโs okay to fail fast, get constructive feedback and grow as you move ahead.
Get recognized for your work and all the changes you will make. We always look for, NO, create opportunities to celebrate efforts, play games, and have fun together!
You will have a lot of fun at Leapfrog, thereโll never be a dull day.
๐ Benefits and perks:
We believe our people are our greatest strength. With perks and benefits, we intend to offer everything our people need to do their best while maintaining a healthy balance between work and personal life.
Daily Work Support
๐ Hybrid work: Work from office or home, depending on our flexible roster
๐ป Support for resources: Receive a monthly internet and laptop allowance, and request resources for convenient WFH.
๐ 5-day workweek: Enjoy weekends off and return refreshed on Mondays.
๐ Food: Access to healthy meals while on-site.
Professional Growth
๐ 'Growth mindset' fund: Investment in your post-grad degree, learning opportunities, and career growth.
๐ถ Child scholarship: Scholarships for your child in selected schools.
๐ Bi-annual bonus: Get timely festival and company bonuses.
Work/Life Balance
โ๏ธ Paid time-offs: Annual, sick, well-being, and bereavement leaves.
๐ผ Maternity leave: 3 months of paid leave, 1 month of unpaid leave, and 90 days of reduced workload.
๐ฃ Paternity leave: 15 days of paid paternity leave and 30 days work from home option after that.
๐ Menstruation leave: 6 days of paid menstruation leave annually.
We take care of you
๐ฟ Your well-being: Company-funded counseling services from certified therapists as well as COVID care services.
๐ฐ Retirement fund: Social security fund with health and accidental insurance.
๐ธ Bank loan for eligible employees: Access bank loans processing through our partner banks.
Celebrating your efforts
๐ Engagement and Events: Team lunch/dinner, company outings, and festival celebrations with your favorite co-workers!
๐ Exposure: Visit and work in the States and build better client rapport.
๐ Recognition: In-house awards, appreciation platforms, and benefits at key tenure years.
","locations_question":"What is your preferred work location?","sharing_description":"The AI Integration Engineer builds the connective tissue between LLM APIs, existing product systems, and end users. They are not training models. They are integrating, orchestrating, and deploying AI ","sharing_title":"AI Integration Engineer"}},"min_hours":null,"options_cv":"required","options_cover_letter":"optional","category_code":"engineering","id":2583946,"location":"Kathmandu, Bagmati, Nepal","dynamic_fields":[],"options_title":"off","guid":"hs49k","experience_code":"experienced","locations_question_required":true,"employment_type_code":"fulltime_permanent","status":"published","city":"Kathmandu","max_hours":null},{"created_at":"2026-04-07 09:26:44 UTC","position":265,"sharing_image":"https://recruitee-main.s3.eu-central-1.amazonaws.com/offers/2556397/normal_sharing_3ko9ubfvlvy4.png","postal_code":null,"on_site":false,"location_question_visible":false,"sharing_title":"AI Integration Engineer","careers_url":"https://career.lftechnology.com/o/ai-integration-engineer","locations_question":"What is your preferred work location?","mailbox_email":"job.v8265@lftechnology.recruitee.com","careers_apply_url":"https://career.lftechnology.com/o/ai-integration-engineer/c/new","education_code":"bachelor_degree","updated_at":"2026-10-28 04:48:14 UTC","locations_question_type":"multiple_choice","sharing_description":"The AI Integration Engineer builds the connective tissue between LLM APIs, existing product systems, and end users. They are not training models. They are integrating, orchestrating, and deploying AI ","requirements":"Education and Experience:
A degree (Masters preferred) in Computer Science, Engineering, Artificial Intelligence, Data Science, Applied Mathematics, or related fields.
Minimum 5+ years of hands-on experience in engineering.
Technical Skills:
4+ years backend or full stack experience; strong API design and consumption skills
Proven experience integrating LLM APIs (any major provider) into production applications, not just prototypes
Proficiency in Python and/or TypeScript/Node.js
Hands-on experience with RAG vector databases ๎Pinecone, Weaviate, pgvector etc), embedding models, chunking strategies.
Understanding of prompt engineering: system prompts, few-shot examples, chain-of-thought, structured output
Solid grasp of API security, rate limiting, cost management for LLM-based services
Experience with AWS or another major cloud platform
Desirable Skills:
Experience with agentic frameworks: AgentCore, LangChain, LlamaIndex,
CrewAI, AutoGen, or similar
Familiarity with multi-modal AI (vision, audio) or function calling / tool use
Understanding of fine-tuning workflows even if not hands-on
Experience using AI coding assistants to accelerate their own development workflow
Soft Skills:
Highly motivated, self-driven, entrepreneurial mindset, and capable of solving complex analytical problems under high-pressure situations.
Ability to work with cross-functional and cross-regional teams.
Ability to lead a team of Data/AI professionals and work with senior management, technological experts, and the product team.
Excellent written and verbal communication skills, comfortable with client communication.
Good leadership skills - ability to motivate and mentor team members, ability to plan and make sound decisions, ability to negotiate tactfully with the client and team.
Results-oriented, customer-focused with a passion for resolving tough technical and operational challenges.
Possess excellent analytical and problem-solving abilities.
Good documentation skills.
Experienced with Agile methodologies like Scrum/Kanban
The AI Integration Engineer builds the connective tissue between LLM APIs, existing product systems, and end users. They are not training models. They are integrating, orchestrating, and deploying AI capabilities into production software, reliably, securely, and at scale.
Key Responsibilities:
โ Integrate LLM APIs (Anthropic Claude, OpenAI GPT-4o, AWS Bedrock, Google
Gemini) into backend services and user-facing products
โ Design and implement RAG pipelines: document ingestion, chunking strategy,
vector store selection, retrieval tuning
โ Build agentic workflows using frameworks such as AgentCore, LangChain,
LlamaIndex, or custom orchestration patterns
โ Manage prompt engineering, prompt versioning, and prompt evaluation
frameworks
โ Implement guardrails for LLM outputs: validation, content filtering, fallback logic
โ Monitor AI system performance: latency, cost-per-query, accuracy drift, token
usage
โ Collaborate with frontend engineers to surface AI capabilities in product UIs
โ Own the AI integration layer in the SDLC, from spec to CI/CD to production
observability
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Key Responsibilities:
โ Integrate LLM APIs (Anthropic Claude, OpenAI GPT-4o, AWS Bedrock, Google
Gemini) into backend services and user-facing products
โ Design and implement RAG pipelines: document ingestion, chunking strategy,
vector store selection, retrieval tuning
โ Build agentic workflows using frameworks such as AgentCore, LangChain,
LlamaIndex, or custom orchestration patterns
โ Manage prompt engineering, prompt versioning, and prompt evaluation
frameworks
โ Implement guardrails for LLM outputs: validation, content filtering, fallback logic
โ Monitor AI system performance: latency, cost-per-query, accuracy drift, token
usage
โ Collaborate with frontend engineers to surface AI capabilities in product UIs
โ Own the AI integration layer in the SDLC, from spec to CI/CD to production
observability
","title":"AI Integration Engineer","highlight":null,"sharing_image":"https://recruitee-main.s3.eu-central-1.amazonaws.com/offers/2556397/normal_sharing_3ko9ubfvlvy4.png","requirements":"Education and Experience:
A degree (Masters preferred) in Computer Science, Engineering, Artificial Intelligence, Data Science, Applied Mathematics, or related fields.
Minimum 5+ years of hands-on experience in engineering.
Technical Skills:
4+ years backend or full stack experience; strong API design and consumption skills
Proven experience integrating LLM APIs (any major provider) into production applications, not just prototypes
Proficiency in Python and/or TypeScript/Node.js
Hands-on experience with RAG vector databases ๎Pinecone, Weaviate, pgvector etc), embedding models, chunking strategies.
Understanding of prompt engineering: system prompts, few-shot examples, chain-of-thought, structured output
Solid grasp of API security, rate limiting, cost management for LLM-based services
Experience with AWS or another major cloud platform
Desirable Skills:
Experience with agentic frameworks: AgentCore, LangChain, LlamaIndex,
CrewAI, AutoGen, or similar
Familiarity with multi-modal AI (vision, audio) or function calling / tool use
Understanding of fine-tuning workflows even if not hands-on
Experience using AI coding assistants to accelerate their own development workflow
Soft Skills:
Highly motivated, self-driven, entrepreneurial mindset, and capable of solving complex analytical problems under high-pressure situations.
Ability to work with cross-functional and cross-regional teams.
Ability to lead a team of Data/AI professionals and work with senior management, technological experts, and the product team.
Excellent written and verbal communication skills, comfortable with client communication.
Good leadership skills - ability to motivate and mentor team members, ability to plan and make sound decisions, ability to negotiate tactfully with the client and team.
Results-oriented, customer-focused with a passion for resolving tough technical and operational challenges.
Possess excellent analytical and problem-solving abilities.
Good documentation skills.
Experienced with Agile methodologies like Scrum/Kanban
4+ years of professional software development experience, with at least 1 year in a technical leadership or mentoring role.
Strong hands-on experience in full-stack development (React + Node.js or equivalent stack).
Proven experience designing and deploying cloud-native applications on AWS.
Strong understanding of software architecture, design patterns, data structures, and algorithms.
Strong understanding of AWS Well-Architected Framework.
Experience with AWS services such as EC2, S3, RDS, Lambda, Fargate, SNS, EKS, and API Gateway.
Experience with relational and NoSQL databases.
Familiarity with DevOps practices, CI/CD pipelines, automated testing, and code quality tools.
Experience working in Agile environments.
Strong communication and problem-solving skills with a customer-centric mindset.
Bachelorโs degree in Computer Engineering, Software Engineering, or equivalent practical experience.
Nice to have
Hands-on experience with Docker and Kubernetes.
Exposure to Generative AI frameworks such as LangChain or LangGraph.
Familiarity with embeddings, vector databases, and LLM-based workflows.
Experience building SaaS products and scalable microservices architectures.
Knowledge of additional languages such as Python, Java, Golang, or C#.
Experience with healthcare integrations (FHIR, HL7, Redox) is a plus.
Work with talented engineers and remarkable professionals in Nepal, the US and Europe, building state-of-the-art digital health products.
Have an amazing career growth plan with support from experienced mentors and unlimited learning opportunities.
Be a part of an experienced teamโapply the best industry practices, get mentored by experienced professionals and be ready to mentor the new ones.
Get exposure to clients who are leading entrepreneurs and startups from Silicon Valley.
Your work will be at the cutting edge of healthcare innovation and make a difference in the lives of thousands of people worldwide.
You will get the flexibility to work remotely or in the officeโ we value accountable freedom.
Get growth opportunities, not just in your work. We organize various internal initiatives where you can be a part of a bigger learning community with webinars, Knowledge Sharing Sessions (KSS), and internal conferences.
Be a part of a safe workplace where itโs okay to fail fast, get constructive feedback and grow as you move ahead.
Get recognized for your work and all the changes you will make. We always look for, NO, create opportunities to celebrate efforts, play games, and have fun together!
You will have a lot of fun at Leapfrog, thereโll never be a dull day.
๐ Benefits and perks:
We believe our people are our greatest strength. With perks and benefits, we intend to offer everything our people need to do their best while maintaining a healthy balance between work and personal life.
Daily Work Support
๐ Hybrid work: Work from office or home, depending on our flexible roster
๐ป Support for resources: Receive a monthly internet and laptop allowance, and request resources for convenient WFH.
๐ 5-day workweek: Enjoy weekends off and return refreshed on Mondays.
๐ Food: Access to healthy meals while on-site.
Professional Growth
๐ 'Growth mindset' fund: Investment in your post-grad degree, learning opportunities, and career growth.
๐ถ Child scholarship: Scholarships for your child in selected schools.
๐ Bi-annual bonus: Get timely festival and company bonuses.
Work/Life Balance
โ๏ธ Paid time-offs: Annual, sick, well-being, and bereavement leaves.
๐ผ Maternity leave: 3 months of paid leave, 1 month of unpaid leave, and 90 days of reduced workload.
๐ฃ Paternity leave: 15 days of paid paternity leave and 30 days work from home option after that.
๐ Menstruation leave: 6 days of paid menstruation leave annually.
We take care of you
๐ฟ Your well-being: Company-funded counseling services from certified therapists as well as COVID care services.
๐ฐ Retirement fund: Social security fund with health and accidental insurance.
๐ธ Bank loan for eligible employees: Access bank loans processing through our partner banks.
Celebrating your efforts
๐ Engagement and Events: Team lunch/dinner, company outings, and festival celebrations with your favorite co-workers!
๐ Exposure: Visit and work in the States and build better client rapport.
๐ Recognition: In-house awards, appreciation platforms, and benefits at key tenure years.
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Leapfrog is on a mission to be a role model technology company. Since 2010, we have relentlessly worked on crafting better digital products with our team of superior engineers. Weโre a full-stack company specializing in SaaS products and have served over 100 clients with our mastery of emerging technologies.
Weโre thinkers and doers, creatives and coders, makers and buildersโ but most importantly, we are trusted partners with world-class engineers. Hundreds of companies in Boston, Seattle, Silicon Valley, and San Francisco choose us to gain speed, agility, quality, and stability, giving them an edge over their competitors.
About the role
We are seeking an experienced Senior Full-Stack Engineer to join our engineering team and lead the design and development of scalable, cloud-native applications. This role combines strong full-stack expertise with hands-on AWS experience and exposure to Generative AI integrations.
You will play a key role in architectural decisions, cloud infrastructure design, and the integration of AI-driven capabilities that enhance product innovation. This position is ideal for a technically strong engineer who thrives in ownership roles, mentors others, and is passionate about building intelligent, high-performance systems on AWS.
Design, develop, and maintain scalable full-stack applications using modern frameworks with a strong focus on performance, security, and maintainability.
Architect and implement cloud-native solutions leveraging AWS services and best practices.
Lead architectural discussions covering system design, microservices, distributed systems, and AI-assisted features.
Implement and support GenAI integrations (LLM APIs, prompt orchestration, embeddings, vector databases, AI-powered workflows)
Drive technical initiatives from planning through delivery in a fast-paced environment.
Mentor junior engineers, conduct code reviews, and uphold engineering standards.
Contribute to DevOps processes including CI/CD, infrastructure automation, and observability.
Promote engineering excellence by improving processes, documentation, and technical culture.
Stay up to date with advancements in AWS, full-stack technologies, and Generative AI ecosystems.
About Leapfrog
Leapfrog is on a mission to be a role model technology company. Since 2010, we have relentlessly worked on crafting better digital products with our team of superior engineers. Weโre a full-stack company specializing in SaaS products and have served over 100 clients with our mastery of emerging technologies.
Weโre thinkers and doers, creatives and coders, makers and buildersโ but most importantly, we are trusted partners with world-class engineers. Hundreds of companies in Boston, Seattle, Silicon Valley, and San Francisco choose us to gain speed, agility, quality, and stability, giving them an edge over their competitors.
About the role
We are seeking an experienced Senior Full-Stack Engineer to join our engineering team and lead the design and development of scalable, cloud-native applications. This role combines strong full-stack expertise with hands-on AWS experience and exposure to Generative AI integrations.
You will play a key role in architectural decisions, cloud infrastructure design, and the integration of AI-driven capabilities that enhance product innovation. This position is ideal for a technically strong engineer who thrives in ownership roles, mentors others, and is passionate about building intelligent, high-performance systems on AWS.
Design, develop, and maintain scalable full-stack applications using modern frameworks with a strong focus on performance, security, and maintainability.
Architect and implement cloud-native solutions leveraging AWS services and best practices.
Lead architectural discussions covering system design, microservices, distributed systems, and AI-assisted features.
Implement and support GenAI integrations (LLM APIs, prompt orchestration, embeddings, vector databases, AI-powered workflows)
Drive technical initiatives from planning through delivery in a fast-paced environment.
Mentor junior engineers, conduct code reviews, and uphold engineering standards.
Contribute to DevOps processes including CI/CD, infrastructure automation, and observability.
Promote engineering excellence by improving processes, documentation, and technical culture.
Stay up to date with advancements in AWS, full-stack technologies, and Generative AI ecosystems.
4+ years of professional software development experience, with at least 1 year in a technical leadership or mentoring role.
Strong hands-on experience in full-stack development (React + Node.js or equivalent stack).
Proven experience designing and deploying cloud-native applications on AWS.
Strong understanding of software architecture, design patterns, data structures, and algorithms.
Strong understanding of AWS Well-Architected Framework.
Experience with AWS services such as EC2, S3, RDS, Lambda, Fargate, SNS, EKS, and API Gateway.
Experience with relational and NoSQL databases.
Familiarity with DevOps practices, CI/CD pipelines, automated testing, and code quality tools.
Experience working in Agile environments.
Strong communication and problem-solving skills with a customer-centric mindset.
Bachelorโs degree in Computer Engineering, Software Engineering, or equivalent practical experience.
Nice to have
Hands-on experience with Docker and Kubernetes.
Exposure to Generative AI frameworks such as LangChain or LangGraph.
Familiarity with embeddings, vector databases, and LLM-based workflows.
Experience building SaaS products and scalable microservices architectures.
Knowledge of additional languages such as Python, Java, Golang, or C#.
Experience with healthcare integrations (FHIR, HL7, Redox) is a plus.
Work with talented engineers and remarkable professionals in Nepal, the US and Europe, building state-of-the-art digital health products.
Have an amazing career growth plan with support from experienced mentors and unlimited learning opportunities.
Be a part of an experienced teamโapply the best industry practices, get mentored by experienced professionals and be ready to mentor the new ones.
Get exposure to clients who are leading entrepreneurs and startups from Silicon Valley.
Your work will be at the cutting edge of healthcare innovation and make a difference in the lives of thousands of people worldwide.
You will get the flexibility to work remotely or in the officeโ we value accountable freedom.
Get growth opportunities, not just in your work. We organize various internal initiatives where you can be a part of a bigger learning community with webinars, Knowledge Sharing Sessions (KSS), and internal conferences.
Be a part of a safe workplace where itโs okay to fail fast, get constructive feedback and grow as you move ahead.
Get recognized for your work and all the changes you will make. We always look for, NO, create opportunities to celebrate efforts, play games, and have fun together!
You will have a lot of fun at Leapfrog, thereโll never be a dull day.
๐ Benefits and perks:
We believe our people are our greatest strength. With perks and benefits, we intend to offer everything our people need to do their best while maintaining a healthy balance between work and personal life.
Daily Work Support
๐ Hybrid work: Work from office or home, depending on our flexible roster
๐ป Support for resources: Receive a monthly internet and laptop allowance, and request resources for convenient WFH.
๐ 5-day workweek: Enjoy weekends off and return refreshed on Mondays.
๐ Food: Access to healthy meals while on-site.
Professional Growth
๐ 'Growth mindset' fund: Investment in your post-grad degree, learning opportunities, and career growth.
๐ถ Child scholarship: Scholarships for your child in selected schools.
๐ Bi-annual bonus: Get timely festival and company bonuses.
Work/Life Balance
โ๏ธ Paid time-offs: Annual, sick, well-being, and bereavement leaves.
๐ผ Maternity leave: 3 months of paid leave, 1 month of unpaid leave, and 90 days of reduced workload.
๐ฃ Paternity leave: 15 days of paid paternity leave and 30 days work from home option after that.
๐ Menstruation leave: 6 days of paid menstruation leave annually.
We take care of you
๐ฟ Your well-being: Company-funded counseling services from certified therapists as well as COVID care services.
๐ฐ Retirement fund: Social security fund with health and accidental insurance.
๐ธ Bank loan for eligible employees: Access bank loans processing through our partner banks.
Celebrating your efforts
๐ Engagement and Events: Team lunch/dinner, company outings, and festival celebrations with your favorite co-workers!
๐ Exposure: Visit and work in the States and build better client rapport.
๐ Recognition: In-house awards, appreciation platforms, and benefits at key tenure years.
","locations_question":"What is your preferred work location?","sharing_description":"About LeapfrogLeapfrog is on a mission to be a role model technology company. Since 2010, we have relentlessly worked on crafting better digital products with our team of superior engineers. Weโre a f","sharing_title":"Senior Full-Stack Developer"}},"min_hours":null,"options_cv":"required","options_cover_letter":"optional","category_code":"engineering","id":2379506,"location":"Kathmandu, Bagmati, Nepal","dynamic_fields":[],"options_title":"off","guid":"rfu6d","experience_code":"experienced","locations_question_required":true,"employment_type_code":"fulltime_permanent","status":"published","city":"Kathmandu","max_hours":null},{"created_at":"2025-11-21 06:38:13 UTC","position":245,"sharing_image":null,"postal_code":null,"on_site":false,"location_question_visible":false,"sharing_title":"Senior Full Stack Engineer","careers_url":"https://career.lftechnology.com/o/senior-full-stack-engineer","locations_question":"What is your preferred work location?","mailbox_email":"job.cogyf@lftechnology.recruitee.com","careers_apply_url":"https://career.lftechnology.com/o/senior-full-stack-engineer/c/new","education_code":"bachelor_degree","updated_at":"2026-10-28 04:48:47 UTC","locations_question_type":"multiple_choice","sharing_description":"About Leapfrog Position Overview: We are looking for an experienced Fullstack Developer (Lead Engineer) with strong expertise in software architecture, full-stack development, AI, and AWS. The role co","requirements":"5-7 years of experience as Full Stack Engineer
Strong hands-on experience in full-stack development.
Proficiency in Python, TypeScript, and AWS
Good understanding of software architecture, APIs, integrations, and system design.
Practical experience with AI/LLM-based solutions and rapid prototyping.
Ability to estimate project effort and assess technical feasibility.
Excellent client communication, presentation, and problem-solving skills.
This is a dedicated, full-time role requiring ownership of technical pre-sales, solution design, and prototyping activities.
","description":"Position Overview:
We are looking for an experienced Fullstack Developer (Lead Engineer) with strong expertise in software architecture, full-stack development, AI, and AWS. The role combines hands-on engineering with technical solution design, client engagement, effort estimation, and rapid prototyping to support pre-sales activities and business opportunities.
Requirements:
Full-Stack Development: Design and develop scalable applications using Python, TypeScript, AWS, and modern development frameworks.
Solution Architecture: Define technical approaches, evaluate technologies, and recommend secure, scalable, and cost-effective solutions.
Technical Pre-Sales: Engage with clients and Sales teams to understand requirements, assess feasibility, and support technical proposals.
Effort Estimation: Estimate project scope and complexity, maintain T-shirt sizing bands, and contribute to the engagement catalogue.
Rapid Prototyping: Lead the development of PoCs, MVPs, and demo systems to validate solutions and demonstrate capabilities to clients.
Opportunity Management: Review and prioritize the technical intake queue weekly with Sales representatives and coordinate next steps.
Technical Leadership: Guide engineering practices, review designs, and mentor developers while ensuring quality and maintainability.
Position Overview:
We are looking for an experienced Fullstack Developer (Lead Engineer) with strong expertise in software architecture, full-stack development, AI, and AWS. The role combines hands-on engineering with technical solution design, client engagement, effort estimation, and rapid prototyping to support pre-sales activities and business opportunities.
Requirements:
Full-Stack Development: Design and develop scalable applications using Python, TypeScript, AWS, and modern development frameworks.
Solution Architecture: Define technical approaches, evaluate technologies, and recommend secure, scalable, and cost-effective solutions.
Technical Pre-Sales: Engage with clients and Sales teams to understand requirements, assess feasibility, and support technical proposals.
Effort Estimation: Estimate project scope and complexity, maintain T-shirt sizing bands, and contribute to the engagement catalogue.
Rapid Prototyping: Lead the development of PoCs, MVPs, and demo systems to validate solutions and demonstrate capabilities to clients.
Opportunity Management: Review and prioritize the technical intake queue weekly with Sales representatives and coordinate next steps.
Technical Leadership: Guide engineering practices, review designs, and mentor developers while ensuring quality and maintainability.
This is a dedicated, full-time role requiring ownership of technical pre-sales, solution design, and prototyping activities.
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Strong hands-on experience in full-stack development.
Proficiency in Python, TypeScript, and AWS
Good understanding of software architecture, APIs, integrations, and system design.
Practical experience with AI/LLM-based solutions and rapid prototyping.
Ability to estimate project effort and assess technical feasibility.
Excellent client communication, presentation, and problem-solving skills.
Strong communication and interpersonal skills.
Critical thinking and problem-solving ability.
Eagerness to learn, grow, and adapt to new technologies and challenges.
Foundational technical knowledge relevant to your area of interest or expertise.
Passion for continuous learning and professional development.
Ability to work effectively both independently and as part of a collaborative team.
A proactive attitude with a willingness to take ownership and contribute positively.
At Leapfrog Technology, we are always looking to connect with talented individuals who are passionate about building their careers in technology and beyond.
By joining our Talent Pool, you can share your profile with us and stay connected for current and future opportunities that align with your skills, experience, and interests. Whether an immediate opening is available or not, your profile will be considered as relevant opportunities arise.
Express your interest in working with Leapfrog Technology.
Keep your profile in our database for future opportunities.
Be considered for roles that match your skills and experience.
Stay connected with our Talent Acquisition team.
Receive updates about relevant career opportunities.
CV Submission: Complete the form, upload your CV, and share your areas of interest and expertise.
Profile Collection: Your profile will be securely stored in our talent database for consideration against current and future openings.
Match-Making: Our Talent Acquisition team reviews profiles and matches them with relevant opportunities as hiring needs arise.
Get Notified: If your profile aligns with a suitable opportunity, we will reach out to you regarding the next steps in the recruitment process.
Please note that submitting your profile to the Talent Pool does not guarantee employment or immediate consideration for a specific position. Only shortlisted candidates will be contacted.
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By joining our Talent Pool, you can share your profile with us and stay connected for current and future opportunities that align with your skills, experience, and interests. Whether an immediate opening is available or not, your profile will be considered as relevant opportunities arise.
Express your interest in working with Leapfrog Technology.
Keep your profile in our database for future opportunities.
Be considered for roles that match your skills and experience.
Stay connected with our Talent Acquisition team.
Receive updates about relevant career opportunities.
CV Submission: Complete the form, upload your CV, and share your areas of interest and expertise.
Profile Collection: Your profile will be securely stored in our talent database for consideration against current and future openings.
Match-Making: Our Talent Acquisition team reviews profiles and matches them with relevant opportunities as hiring needs arise.
Get Notified: If your profile aligns with a suitable opportunity, we will reach out to you regarding the next steps in the recruitment process.
Please note that submitting your profile to the Talent Pool does not guarantee employment or immediate consideration for a specific position. Only shortlisted candidates will be contacted.
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Eagerness to learn, grow, and adapt to new technologies and challenges.
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A proactive attitude with a willingness to take ownership and contribute positively.