Lead AI ML Engineer Agentic AI LangGraph

Lead AI/ML Engineer Agentic AI / LangGraph

Experience: 6 to 8 Years
Leadership Experience: Minimum 3 Years as Lead / Team Handling
Location: Noida
Work Mode: Work From Office (WFO)
Employment Type: Full-Time

Job Summary

We are looking for a Lead AI/ML Engineer with 6 to 8 years of overall experience, including at least 3 years of experience leading/mentoring AI/ML engineering teams.
The ideal candidate will be a hands-on technical leader with strong expertise in Generative AI, Agentic AI, LLM applications and LangGraph, capable of designing, developing and deploying production-grade AI solutions while leading a team of engineers.
The candidate will be responsible for driving technical direction, mentoring engineers, reviewing architecture/code, solving complex AI engineering problems and collaborating with senior stakeholders.

Key Responsibilities

• Lead the design and development of production-grade Generative AI and Agentic AI solutions.
• Build and architect multi-agent systems and intelligent workflows using LangGraph.
• Develop LLM-powered applications involving RAG, tool/function calling, memory, planning, reasoning and workflow orchestration.
• Design agent workflows with state management, conditional routing, retries, human-in-the-loop and error handling.
• Work with MCP (Model Context Protocol) and A2A (Agent-to-Agent) communication for enterprise AI integrations.
• Design and implement scalable DAG/workflow-based orchestration for AI agents and business processes.
• Work with LiteLLM or similar LLM abstraction/model-routing frameworks for multi-model and multi-provider integrations.
• Develop scalable backend services and APIs using Python and FastAPI.
• Integrate AI agents with enterprise applications, databases, APIs and microservices.
• Design and implement RAG pipelines using embeddings, vector databases, semantic/hybrid search and retrieval optimization.
• Own AI/ML modules throughout the complete lifecycle from architecture and development to deployment, monitoring and production support.
• Lead technical discussions, architecture reviews and code reviews.
• Lead, mentor and manage a team of AI/ML engineers, ensuring engineering quality and timely delivery.
• Guide junior and mid-level engineers on Agentic AI, LLM application development and best practices.
• Collaborate with product, engineering, business and senior stakeholders to translate business requirements into scalable AI solutions.
• Establish best practices around AI security, guardrails, observability, evaluation and responsible AI.
• Troubleshoot complex technical issues and drive solutions from PoC to production.

Mandatory Skills

AI / ML / GenAI

• 6 to 8 years of overall experience in software engineering / AI/ML.
• Strong hands-on experience in Generative AI and LLM applications.
• Strong understanding of Agentic AI and Multi-Agent Systems.
• Strong Python programming skills.
• Experience with LLMs/foundation models such as OpenAI, Azure OpenAI, Claude, Gemini, Llama or equivalent.

Agentic AI & Orchestration

• Strong hands-on experience with LangGraph.
• Experience designing stateful agent workflows using nodes, edges, conditional routing and workflow orchestration.
• Experience with MCP (Model Context Protocol).
• Experience with A2A / Agent-to-Agent communication.
• Experience with DAG-based workflow orchestration.
• Hands-on experience with tool/function calling.
• Experience with agent memory, planning/reasoning and human-in-the-loop workflows.
• Experience with LiteLLM or equivalent model abstraction/routing frameworks.

RAG & LLM Applications

• Strong experience building RAG applications.
• Experience with embeddings, semantic search, hybrid search and re-ranking.
• Hands-on experience with Vector Databases such as Pinecone, FAISS, Chroma, Qdrant, Azure AI Search, pgvector or equivalent.
• Experience with prompt engineering and structured outputs.
• Understanding of RAG evaluation, LLM evaluation and observability.

Backend / Cloud

• Strong experience with Python and FastAPI.
• Experience developing REST APIs and microservices.
• Experience integrating LLM applications with enterprise APIs, databases and business systems.
• Experience with AWS, Azure or GCP.
• Docker and Kubernetes experience is preferred.
• Understanding of CI/CD and production deployment practices.

Leadership & Team Handling Mandatory

• Minimum 3 years of experience in a Lead / Team Lead / Technical Lead / Engineering Lead capacity.
• Proven experience managing or mentoring AI/ML/GenAI engineers.
• Experience conducting code reviews and architecture/design reviews.
• Ability to define technical standards and development best practices.
• Strong problem-solving and technical decision-making capabilities.
• Ability to distribute work, track delivery and support team members technically.
• Experience working directly with senior stakeholders, architects, product teams and business teams.
• Ability to act as a bridge between engineering teams and senior stakeholders.

Good to Have

• LangChain / LlamaIndex / CrewAI / AutoGen.
• AWS Bedrock / Azure AI Foundry / Vertex AI.
• RAGAS / LangSmith / MLflow or other evaluation and observability frameworks.
• Redis / PostgreSQL.
• AI security, guardrails and responsible AI.
• Knowledge Graph / GraphRAG.
• Kubernetes / Helm / Terraform.
• Experience with enterprise-scale AI deployments.

Core Technology Stack

Python | LangGraph | LangChain | Agentic AI | GenAI | LLMs | MCP | A2A | LiteLLM | RAG | Multi-Agent Systems | Tool Calling | Vector DB | FastAPI | REST APIs | Cloud | Docker | Kubernetes

Ideal Candidate Profile

The ideal candidate should be:
Hands-on Engineer + Technical Lead + Team Mentor
We are not looking for someone who is purely managerial or purely architecture-focused. The candidate should continue to write/review code, design AI architectures, solve technical challenges and mentor the engineering team while interacting with senior stakeholders.

NOTE - We are only looking for Immediate joiners who can join in max 15 Days

Education
Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, Data Science or a related technical field.

Contact

Call / What's App Resume - 9718978697

Email - [email protected]

Siddharth Mathur

Manager Global Talent Acquisition

MOPTRA INFOTECH PVT LTD