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Technical Lead

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Summary

Hands-on full-stack technical lead on a client's in-house engineering team building a clinical learning platform undergoing migration and adding AI features. Day to day: build front-end/back-end/APIs with TypeScript, Node.js and React, write optimized SQL, integrate LLM-powered features, and mentor engineers while collaborating in Agile with US-based stakeholders.

Role: FullStack Lead

Experience: Minimum 7 years

Work Mode: Remote / Hybrid

Base Location: Mumbai


About the role

You will join the clients in-house engineering team working on a clinical learning platform

that is going through a platform migration and adding AI-powered features. This is a hands-

on senior role: you will write code, shape technical design, guide other engineers, and work

directly with US-based stakeholders.


What you will do

• Design, build and maintain front-end, back-end and API components using TypeScript, Node.js and React.

• Build and integrate AI features using LLM APIs (OpenAI, Anthropic, Gemini or similar).

• Design data models and write optimized SQL.

• Lead technical discussions, review code, and mentor junior engineers.

• Work in Agile sprints with US teams: refinement, estimation and status updates.

• Act as first point of escalation for complex technical issues in your area.


Must-have skills

• 7+ years in software engineering, with strong hands-on full-stack work.

• TypeScript / JavaScript, Node.js, Express, React.

• SQL, relational data modeling, and query optimization.

• REST API design and third-party integrations.

• Hands-on experience integrating LLM APIs and using prompt engineering (structured

outputs, system prompts).

• Daily use of AI coding tools (GitHub Copilot, Cursor, Claude Code or similar).

• Unit testing / TDD and code reviews in Agile teams.

• Excellent spoken and written English, and comfort working directly with US clients.


Good-to-have skills

• Agentic AI: tool/function calling, MCP, agent frameworks, LLM evaluation (LLM-as- judge, regression tests).

• Responsible AI practices: guardrails, PII handling.

• LMS integrations, e.g. Cornerstone, Workday Learning, or LTI/SCORM-based platforms.

• Python; exposure to Java or .NET.

• Healthcare, EHR (e.g., Epic) or edtech domain experience.

• Experience as a tech lead or mentor.

Skills

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