
Tech Lead, AI
- On-site
- Kathmandu, Bagmati, Nepal
- Machine Learning
Job description
As Lead AI, the quality is to be a guardian for AI-augmented delivery. This is not a pure management role, they should be shipping code, reviewing AI-generated output, and making architectural decisions. They are the person who knows when to trust the AI and when to override it.
Key Responsibilities:
● Lead technical direction on AI-augmented projects, own architecture decisions
and ADRs
● Review and validate AI-generated code; enforce quality, security, and
performance standards.
● Mentor engineers on effective use of agentic tools Claude Code, Cursor,
Copilot) by ensuring engineers know what these tools are doing for them.
● Assess and benchmark AI tooling for the team - identify what genuinely
accelerates delivery vs. what creates noise
● Collaborate with the client and delivery team to scope features where AI can
reduce time-to-market
● Identify and mitigate AI-specific risks: prompt injection, hallucinated
dependencies, licensing exposure in generated code
● Champion engineering practices such as testing, observability, security all the
things that remain non-negotiable in an AI-assisted workflow
Job 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 and 2+ years in Leading the Team.
Technical Skills:
Demonstrable production experience using AI coding assistants Claude Code,
Cursor, GitHub Copilot or equivalent)
Strong software engineering fundamentals - system design, testing, security,
performance, independent of AI tools
Experience reviewing and critiquing AI-generated code at a team level, not just
personal use
Comfortable leading a squad of 4-8 engineers in a client-facing delivery
context
Fluent in at least one of: Node.js / TypeScript, Python, Java, Go
Clear communicator - able to explain trade-offs to both engineers and
non-technical stakeholders
Desirable Skills:
Familiarity with LLM API integration OpenAI, Anthropic Claude, AWS Bedrock)
Experience with RAG pipelines or agentic workflow design
AWS or equivalent cloud certification
Nearshore or distributed team experience
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
🌞 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 team—apply 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 office— 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 it’s 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, there’ll never be a dull day.
🎁 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
🏠 Hybrid work: Work from office or home, depending on our flexible roster
💻 Support for resources: Receive a monthly internet and laptop allowance, and request resources for convenient WFH.
📆 5-day workweek: Enjoy weekends off and return refreshed on Mondays.
🍔 Food: Access to healthy meals while on-site.
Professional Growth
📚 'Growth mindset' fund: Investment in your post-grad degree, learning opportunities, and career growth.
👶 Child scholarship: Scholarships for your child in selected schools.
📈 Bi-annual bonus: Get timely festival and company bonuses.
Work/Life Balance
✈️ Paid time-offs: Annual, sick, well-being, and bereavement leaves.
🍼 Maternity leave: 3 months of paid leave, 1 month of unpaid leave, and 90 days of reduced workload.
🐣 Paternity leave: 15 days of paid paternity leave and 30 days work from home option after that.
💊 Menstruation leave: 6 days of paid menstruation leave annually.
We take care of you
🌿 Your well-being: Company-funded counseling services from certified therapists as well as COVID care services.
💰 Retirement fund: Social security fund with health and accidental insurance.
💸 Bank loan for eligible employees: Access bank loans processing through our partner banks.
Celebrating your efforts
🎉 Engagement and Events: Team lunch/dinner, company outings, and festival celebrations with your favorite co-workers!
😎 Exposure: Visit and work in the States and build better client rapport.
💖 Recognition: In-house awards, appreciation platforms, and benefits at key tenure years.
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