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    Home/Jobs/AI Engineer – GraphRAG

    AI Engineer – GraphRAG

    Agivant Technologies India Private Limited

    Hyderabad
    2-5 years
    16 days ago
    ₹8–19 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    GraphRAG
    LangChain
    agent systems
    AI SDKs
    LangGraph
    prompt templating
    vector indexing
    similarity search
    FAISS
    Milvus
    TigerGraph
    GSQL
    RESTPP
    Docker

    Description

    Agivant Technologies India Private Limited is seeking an AI Engineer – GraphRAG to work on GraphRAG systems and MCP tooling framework. The role involves deep AI/LLM integration, graph query pipelines, and developer tooling. The ideal candidate is a self-driven engineer who can navigate ambiguous technical challenges and make sound architectural trade-offs.

    Company: Agivant Technologies India Private Limited

    Role: AI Engineer – GraphRAG

    Location: Hyderabad, India

    Experience:

    • 2-5 years

    Role Focus: • Act as a self-directed engineer to navigate ambiguous technical challenges • Design and develop MCP tools and components from the ground up • Architect with foresight to build elegant integration code • Build reusable modules, prompts, and components for cognitive agents • Collaborate as a technical partner to shape the MCP engineering roadmap • Ensure engineering excellence by writing test suites and benchmarking performance • Empower the community by writing readable internal documentation and clear SDKs

    Nice to have:

    • Prior experience developing tools, platforms, or APIs used by other AI engineers or ML practitioners
    • Background in knowledge graphs, graph neural networks, or knowledge-based QA systems
    • Familiarity with Docker/Kubernetes, FastAPI, and distributed compute systems
    • Contributions to open-source projects in the graph, ML, or LLM domains

    More skills:

    Python, GSQL queries, schema modeling

    Other:

    • Industry: IT Services
    • Job Type: Full time
    • Date Opened: 06/22/2026

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

    Functions, Tools and Agents with LangChain

    Coursera

    Advanced LangChain covering function calling, tool use, and conversational agents.

    Large Language Models: Application through Production

    edX

    Production-focused LLM course covering deployment, monitoring, and scaling.

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