AI Engineer with Python_Immediate_Pune

5 - 10 years

9 - 18 Lacs

Posted:4 days ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

  • Design, develop, and maintain applications in

    Python

    .
  • Implement

    RAG pipelines

    by integrating

    LLMs (OpenAI, Azure OpenAI, Hugging Face, LangChain, LlamaIndex, etc.)

    with enterprise and external data sources.
  • Develop

    MCP-based integrations

    to connect tools, APIs, and enterprise data systems with LLMs.
  • Build APIs and microservices for

    AI-powered search, summarization, and conversational AI

    .
  • Create

    document ingestion pipelines

    (PDFs, databases, SharePoint, etc.) and manage embeddings with

    vector databases (Pinecone, Weaviate, FAISS, Qdrant, Azure Cognitive Search, etc.)

    .
  • Collaborate with AI engineers, architects, and data teams to ensure scalable deployment of RAG/MCP solutions.
  • Optimize application

    performance, security, and scalability

    for production-grade AI systems.
  • Stay updated with

    AI frameworks, MCP standards, and cloud AI services

    .

Required Skills & Experience:

  • Minimum of 5+ years of experience.
  • Strong hands-on experience in

    Python

    .
  • Solid understanding of

    OOP, REST APIs, and microservices architecture

    .
  • Proven experience with

    LLM-based applications

    and

    RAG (Retrieval-Augmented Generation)

    integration.
  • Experience in Agentic AI and Prompt Engineering.
  • Knowledge and practical implementation of

    Model Context Protocol (MCP)

    for AI tool orchestration.
  • Familiarity with

    vector databases

    (FAISS, Pinecone, Weaviate, Qdrant, and Azure Cognitive Search).
  • Hands-on experience with

    LangChain, LlamaIndex, Hugging Face Transformers

    , or similar AI libraries.
  • Strong problem-solving and cross-functional collaboration skills.

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