Hiring AI Architect- Agentic AI & RAG with Datamatics-Mumbai/Bangalore

15 - 24 years

30 - 45 Lacs

navi mumbai bengaluru mumbai (all areas)

Posted:None| Platform: Naukri logo

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Job Type

Full Time

Job Description

Job Overview:

Agentic AI

Key Responsibilities:

  • Design and implement

    RAG-based systems

    combining LLMs with vector databases and internal document sources.
  • Build

    task-based AI agents

    (e.g., chatbots, assistants) that can perform multi-step operations and integrate with external tools or APIs.
  • Develop and maintain

    prompt templates

    , embedding pipelines, and orchestrators using frameworks like

    LangChain, LlamaIndex

    , etc.
  • Work with

    data and ML teams

    to connect AI applications with enterprise knowledge sources (SharePoint, Confluence, databases, etc.).
  • Evaluate and integrate

    embedding models

    ,

    vector databases

    (FAISS, Pinecone, Chroma), and

    LLM APIs

    (OpenAI, Azure OpenAI, etc.).
  • Collaborate with cross-functional teams to identify use cases, define architecture, and deliver PoCs or MVPs.
  • Contribute to CoE documentation, reusable components, and architecture patterns for RAG and agent-based solutions.

Required Skills:

  • 35 years of hands-on experience in

    Python

    with exposure to building AI/NLP applications.
  • Practical experience with

    LLM tools like LangChain, LlamaIndex

    , or equivalent.
  • Experience building

    RAG systems

    using vector stores and document loaders.
  • Familiarity with

    LLM APIs

    such as OpenAI, Cohere, or HuggingFace models.
  • Understanding of

    prompt design

    ,

    embedding models

    (e.g., OpenAI, BGE, SentenceTransformers).
  • Working knowledge of

    REST APIs

    ,

    JSON

    , and integrating AI agents with backend systems.

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