Posted:5 days ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

  • 4+ 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

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