* Design and deliver enterprise-grade AI solutions using LLMs and up-to-date 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)
* Strong communication skills and ability to work with cross-functional teams
* Experience with MLOps practices, APIs, and production deployments

📌 Senior Manager (Gurugram)
🏢 EXL
📍 Gurugram