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    Job · 15599215

    BENGALURU · FULLTIME

    AIML ENGINEER

    METAPLORE Solutions Pvt Ltd logo

    METAPLORE Solutions Pvt Ltd

    Bengaluru · onsite · Posted 48d ago

    Sourced fromFoundit
    Not disclosed4–6 yrsfulltimeBengaluru

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    Section · 01

    About this role

    Role Overview

    Builds and enhances AI-enabled features within AI Launchpad — model integration, prompt/workflow design and evaluation — and works with the AI Agent & Marketplace POD to keep Launchpad AI features compatible with the Agent Marketplace's Model Context Protocol (MCP) and Agent-to-Agent patterns as they mature.

    Key Responsibilities

    • Develop and enhance AI-enabled Launchpad features, model integrations and prompt/workflow configurations (Schedule A.4).
    • Run AI evaluations and experiments; produce evaluation outputs, prototypes and technical recommendations for ADM.
    • Build retrieval and data patterns that support AI feature accuracy, grounding and reliability.
    • Coordinate with the Marketplace POD's Agentic AI Engineer so Launchpad AI features can interoperate with MCP-based tool/context patterns as the Marketplace scope matures (Schedule B.6, B.7).
    • Support AI-related technical documentation and analytics for Launchpad features.
    • Assist with testing, defect triage and stabilization of AI-enabled components.

    Required Skills & Experience

    • 4+ years experience building applied ML/LLM-powered features in production software.
    • Strong Python skills; experience with LLM SDKs/frameworks (OpenAI/Anthropic APIs, LangChain, or equivalent).
    • Practical experience with prompt engineering, retrieval-augmented generation (RAG) and model evaluation methodology.
    • Working understanding of API-based service integration and data pipelines.

    Preferred / Nice-to-Have

    • Familiarity with Model Context Protocol (MCP) concepts, tool-calling and agent orchestration patterns.
    • Experience with enterprise data-source connectors (SharePoint, Teams, Outlook, Microsoft Graph).
    • Exposure to agent evaluation, safety testing or hallucination/grounding assessment.

    Collaboration & Reporting

    Works day-to-day with the Launchpad Tech Lead and Flex Specialist; cross-collaborates with the Marketplace POD's Senior Agentic AI Engineer on shared AI patterns, subject to each POD maintaining its own Backlog and Sprint Commitment (Section 2.3)

    Sourced from foundit

    Section · 02

    Skills

    Model Evaluation MethodologyAPI-based service integrationPrompt EngineeringAnthropic APIsPythonLangchainData PipelineLLM SDKs

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