We are looking for a hands-on Tech Lead who can take an unclear business problem, shape a sensible technical approach, and help a team deliver it. You will lead engineering for a product or project workstream while continuing to write and review production code. The role requires strong full-stack foundations, practical experience with GenAI, and the judgement to know when a quick prototype is enough and when a solution needs stronger architecture, testing, security, and operational controls.

What You'll Do

• Lead engineering delivery from early discovery and technical design through development, deployment, and production support • Turn requirements and architecture into clear workstreams, estimates, dependencies, and ownership for the team

• Build quick proofs of concept where practical, then test, simplify, rework, and harden the successful ideas for production

• Design and build AI-enabled capabilities such as RAG pipelines, agents, intelligent workflows, memory, and evaluation

• Develop scalable backend services and APIs using Python frameworks such as FastAPI, Flask, or Django, Node.js

• Guide the development of responsive frontend applications using React and TypeScript

• Set expectations for code review, testing, CI/CD, monitoring, security, performance, and production readiness

• Identify technical risks early and explain the available trade-offs to project and client stakeholders

• Mentor engineers, support hiring and onboarding, and help the team improve its engineering practices





• Work closely with consulting teams and domain experts to turn business problems into solutions that can be delivered and supported

Requirements

Experience • A bachelor's or master's degree in computer science or a related field, or equivalent practical experience

• 5 to 8 years of software engineering experience, including experience leading engineers or a significant technical workstream

• Strong full-stack skills across backend services, API design, data modelling, and modern frontend development

• Advanced hands-on experience with Python and React with TypeScript

• Experience taking AI-enabled products from an early concept into production

• Strong practical knowledge of RAG, embeddings, vector databases, prompt design, evaluation, and agentic systems

Technical Depth

• Azure and AWS services used for application, data, identity, AI, networking, and monitoring

• AI orchestration frameworks such as LangGraph, Semantic Kernel, LangChain, CrewAI, AutoGen, or similar tools

• LLMOps, evaluation, tracing, quality measurement, guardrails, and AI observability

• Containers, CI/CD, infrastructure as code, secrets management, authentication, authorization, and secure development

• Distributed systems, queues, caching, failure handling, performance tuning, and cost management

• AI-assisted development tools such as GitHub Copilot or Claude Code, used with sound engineering judgement

📌 Tech Lead (Gurugram)
🏢 Preferred Square
📍 Gurugram