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