About The Role

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
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
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