Job description4+ years of experience with design and develop AI solutions using Python, with proficiency in frameworks such as Flask, Streamlit, and FastAPI.Architect and implement intelligent agents and agent-based systems.Apply Retrieval-Augmented Generation (RAG) techniques, including GraphRAG, to enhance model performance.Engineer memory and context-aware systems for dynamic AI interactions.Collaborate on solutioning initiatives in Data and GenAI, driving innovation and efficiency.Work with modern AI frameworks such as LangChain, LangGraph, crew.ai, or Autogen (hands-on experience with at least one is required).Contribute to the design and optimization of Agent Architectures and Multi-Component Pipelines (MCP).Strong programming skills in Python.Experience with one or more of the following : LangChain, LangGraph, crew.ai, Autogen.Deep understanding of Agent Architectures, RAG, and GraphRAG.Familiarity with memory management and context engineering in AI systems