Key Responsibilities: • Build Agentic AI solutions using LangChain, LangGraph, CrewAI, AutoGen, etc. • Develop multi-agent systems, RAG pipelines, and AI-powered applications. • Integrate LLMs (GPT, Gemini, Llama) with APIs, databases, and enterprise systems. • Design scalable AI workflows, retrieval systems, and enterprise integrations. • Monitor, optimize, and deploy AI solutions for performance and reliability. • Collaborate with stakeholders and prepare technical documentation. Required Skills: • Bachelor's degree in Computer Science, AI, Data Science, or related field. • Hands-on experience with LLMs, Generative AI, RAG, embeddings, and vector search. • Strong Python programming and API integration skills. • Experience with LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks. • Knowledge of cloud platforms and scalable AI architecture design. Good to Have: • Experience with vector databases (Pinecone, Chroma, Weaviate, pgvector). • Exposure to MLOps, AI monitoring, and observability tools. • Experience in enterprise software delivery and client-facing projects.