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    Home/Jobs/Senior Product Development AI Engineer

    Senior Product Development AI Engineer

    Clarivate

    Karnataka
    5+ years
    Today
    ₹23–44 LPA
    Full-time
    Hybrid

    Skills Required

    LLM
    LangChain
    RAG
    Gen AI
    Agentic AI
    LlamaIndex
    Python
    FAISS
    Pinecone
    Milvus
    Weaviate
    distributed systems
    APIs
    Microservices

    Description

    We are seeking a Senior Product Development Engineer – Generative & Agentic AI to define, architect, and deliver next-generation GenAI and agentic AI–powered product platforms that drive measurable business and customer impact.

    Company: Clarivate

    Role: Senior Product Development AI Engineer

    Location: Karnātaka, India; Remote:Hybrid

    Experience:

    • 5+ years of experience in software engineering and AI/ML, with proven delivery of GenAI and agent-based systems in real production environments
    • Experience in building and scaling large, enterprise-grade GenAI solutions embedded into products

    Key Skills:

    • Python
    • distributed systems
    • APIs
    • microservices
    • system design
    • LLMs
    • agent frameworks (LangChain, AutoGen, CrewAI, LlamaIndex, etc.)
    • agent orchestration patterns
    • RAG architectures
    • embeddings
    • vector databases (FAISS, Pinecone, Milvus, Weaviate)
    • advanced retrieval and evaluation techniques

    Role Focus:

    • Define and drive the technical vision for GenAI, agentic AI and MCP-based capabilities across multiple product lines
    • Lead prompt engineering, memory management and MCP-based context orchestration for scalable AI systems
    • Design and optimize RAG, enterprise knowledge and MCP-backed context platforms, including secure data ingestion and governance
    • Guide the integration of GenAI and agentic AI features into core products, APIs and enterprise platforms
    • Drive production readiness covering reliability, observability, performance, and responsible / safe agent behaviour

    Nice to have:

    • Experience leading AI copilots, agentic platforms, or multi-product agent-based systems
    • Familiarity with Model Context Protocol (MCP) and context standardization approaches
    • Familiarity with AI governance frameworks, compliance, and regulated environments
    • Contributions to internal AI platforms, open-source projects, or industry thought leadership

    Other:

    • Company-wide GenAI, Agentic AI, and MCP-based product platforms
    • Scalable RAG, agent orchestration, and context management frameworks
    • Enterprise standards for AI quality, safety, and reliability
    • A strong technical leadership bench for the next generation of GenAI engineers
    • Equal employment opportunities for all qualified persons

    Prepare for this role

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

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Generative AI with Large Language Models

    Coursera

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

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