AI ML Lead

Role & responsibilities

hands-on AI/ML Engineering Lead

not a trainer role

• Architect, design and lead development of internal

  GenAI/Agentic AI products

  .
• Lead and mentor a team of fresh/junior AI/ML engineers through real project execution.
• Break the project into modules, assign ownership and drive delivery.
• Conduct architecture, code and design reviews.
• Remain hands-on with critical and complex technical components.
• Build production-grade solutions using

  Python, LLMs, RAG, LangChain, LangGraph, MCP and AI Agents

  .
• Guide engineers on software engineering, testing, APIs, deployment and cloud practices.
• Establish coding, architecture, security, evaluation and deployment standards.
• Identify skill gaps and progressively increase engineers' technical ownership.
• Ensure engineers become capable of independently contributing to

  enterprise/client AI projects within approximately 6 months

  .
• Evaluate emerging AI technologies and incorporate relevant capabilities into internal projects.
• Cascade and implement the organization's

  AI-first vision

  within the engineering team.
• Collaborate with technology, delivery and business teams to align internal AI capabilities with client requirements.

Location: Gurgaon

Interested candidates can share their resumes at megha.goyal@devlabstechnology.com