Description

- Design and deliver enterprise-grade AI solutions using LLMs and modern AI frameworks

- Build and optimize applications using LangChain, LangGraph, and multi-agent architectures

- Drive end-to-end development lifecycle from problem definition to production deployment

- Collaborate with cross-functional teams to translate business needs into AI solutions

Responsibilities

- Develop and deploy LLM-based applications using RAG, embeddings, and prompt engineering

- Build and manage multi-agent systems and workflows using LangGraph, MCP, or similar frameworks

- Design scalable AI pipelines, APIs, and integrations for production use

- Optimize performance, cost, and reliability of AI systems in production

- Collaborate with product, engineering, and data teams to deliver business impact





Qualifications

- 4–6 years of experience in AI/ML engineering or related roles

- Strong Python programming skills (mandatory)

- Experience with LLMs, LangChain, LangGraph, and agent frameworks

- Hands-on knowledge of multi-agent systems and MCP (or similar protocols)

- Understanding of RAG, embeddings, prompt engineering, and LLM orchestration

- Experience in deploying AI solutions on cloud platforms (Azure/AWS/GCP)

- Robust communication skills and ability to work with cross-functional teams

- Experience with MLOps practices, APIs, and production deployments

📌 AI & ML Development Lead (Gurugram)
🏢 EXL
📍 Gurugram