Python AI Engineer

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.