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    Job · 17899347

    Pepagora logo

    Senior AI / ML Engineer

    Pepagora · Coimbatore · onsite · Posted 36d ago

    ₹20.0L - ₹30.0L PA6–9 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Pepagora India Pvt Ltd

    Senior AI / ML Engineer - Job Description
    BUILD INTELLIGENCE
    Location: Coimbatore preferred
    We don't need another chatbot engineer.

    About Pepagora
    Pepagora is trust infrastructure for global B2B growth. We operate a verification-first ecosystem that reduces trust friction, improves deal velocity, and enables SMEs to expand across borders with confidence. Our core product system - TruBadge, ESR Score, Janu AI, and OneInbox - powers signal-driven decision-making for businesses worldwide. Incorporated in Singapore, Pepagora is at a Pre-Series A stage and scaling rapidly across international markets.


    About the Role

    Own the engineering foundation for Pepagora's AI & Data Platform:ingestion, entity resolution, enrichment, evaluation, models, agents and knowledge-graph-enabled intelligence. The mandate includes an AI gateway, multiple named agents and production AI governance.

    What You'll Be Doing :

    • Design and own production AI/ML architecture
    • Build RAG/agentic workflows grounded in trusted business data
    • Create evaluation frameworks for quality, safety, latency and cost
    • Build entity resolution, extraction, classification and enrichment systems
    • Establish model/provider gateway patterns and observability
    • Mentor AI researchers/interns and turn experiments into production capabilities.

    Who We're Looking For

    • Typically, 6+ years in software/data/ML with strong recent production AI ownership.
    • Strong software engineering plus applied ML/GenAI depth.
    • Production experience with LLM/RAG/agentic systems, not demos alone
    • Strong Python and API/service engineering
    • Understanding of evaluation, grounding, hallucination control, cost and latency trade-offs
    • Ability to translate ambiguous business problems into measurable AI systems

    Good to Have

    • Knowledge graphs/entity resolution
    • Vector databases and retrieval systems
    • MLOps/model serving
    • Fine-tuning, embeddings or ranking models
    • Experience with MCP/tool-using agents

    Technology Environment
    Python• LLM APIs/open models• RAG agents • vector search • evaluation • FastAPI • AWS • MLOps

    Sourced from naukri

    Skills

    Retrieval Augmented Generationvector searchLarge Language Models (LLMs)PythonArtificial IntelligenceMachine Learning

    Senior AI / ML Engineer · waiting for your command