Job description

As AI Tech Lead 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 9+ 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.

- Positive documentation skills.

- Experienced with Agile methodologies like Scrum/Kanban

📌 AI Tech Lead (India)
🏢 Leapfrog Technology
📍 India