5 - 10 years

20 - 22 Lacs

Posted:1 week ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Job Title:

AI/ML Engineer Multi-Agent Systems & LLM Orchestration

Location:

AI/ML Engineer

Key Responsibilities:

  • Design and develop

    multi-agent AI frameworks

    using technologies like

    LangChain, AutoGen, AutoGPT

    , and

    Ray

    .
  • Integrate

    LLMs

    from providers like

    OpenAI

    and

    Hugging Face

    ; build and optimize

    RAG (Retrieval Augmented Generation)

    pipelines.
  • Design effective

    prompt engineering

    techniques and behaviors for autonomous and semi-autonomous agents.
  • Implement and manage

    short-term/long-term memory systems

    , maintain

    conversation state

    , and optimize context retrieval.
  • Develop

    knowledge integration layers

    across

    SQL/NoSQL databases, vector stores (e.g., FAISS, Pinecone), APIs

    , and

    internal documentation systems

    .
  • Build robust

    observability and debugging tools

    using tools like

    Langfuse

    , and implement logging and monitoring dashboards.
  • Enforce

    AI safety, compliance, and human-in-the-loop controls

    to ensure ethical and responsible AI use.
  • Handle

    cloud deployment and CI/CD pipelines

    using

    Docker, Kubernetes, FastAPI

    , and deploy across

    AWS/GCP/Azure

    environments.

Required Skills:

  • 5-10 years of experience in AI/ML or software engineering
  • Proficiency in

    Python

    and relevant AI libraries
  • Hands-on experience with

    LLMs

    and orchestration frameworks
  • Knowledge of

    vector databases

    ,

    data ingestion

    , and

    retrieval systems

    Experience with

    CI/CD pipelines

    ,

    containerization

    , and

    cloud deployment

  • Understanding of

    AI observability

    , security, and compliance mechanisms

Good to Have:

  • Experience in

    agent behavior simulation

    or

    reinforcement learning

  • Contributions to

    open-source AI frameworks

  • Familiarity with

    LangSmith

    ,

    MLFlow

    , or similar tools
  • Exposure to

    MLOps practices

    and

    DevSecOps

Why Join Us?

  • Work on cutting-edge

    multi-agent LLM systems

  • Collaborate with top minds at

    Bosch

  • Opportunity to shape the future of intelligent automation and conversational AI

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