Agent
Jobs
Applied
Tracker
Profile
    1. Jobs for you
    2. Job

    Job · 18999607

    Agam Capital India logo

    Data Engineer AI/ML

    Agam Capital India · Mumbai · onsite · Posted 28d ago

    Not disclosedFresherfulltimeSourced fromFoundit

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

    About this role

    Data Engineer - AI/ML

    Job Location: Mumbai

    IIT / BITS candidates preferred

    Responsibilities

    • Design, develop, and maintain scalable data pipelines that support analytics, AI/ML, and Generative AI applications, including vector databases and Retrieval-Augmented Generation (RAG) solutions.
    • Build and optimize data infrastructure and workflows for the ingestion, transformation, processing, and serving of structured and unstructured data for AI/ML use cases.
    • Develop data solutions that enable AI applications, including data pipelines for embeddings, vector search, document processing, and RAG-based systems.
    • Integrate data platforms with AI/ML services and models, ensuring data quality, reliability, scalability, and performance.
    • Leverage AI-assisted software development tools to improve engineering productivity, code quality, testing, debugging, and documentation.
    • Collaborate with Data Scientists, AI/ML Engineers, and Analytics teams to translate AI and business requirements into robust and production-ready data solutions.
    • Establish appropriate practices for data quality, monitoring, governance, security, and performance across data and AI pipelines.

    Preferred / Nice-to-have

    • Experience building data engineering solutions for AI/ML or Generative AI applications.
    • Hands-on experience with vector databases, embeddings, semantic search, and RAG architectures.
    • Familiarity with LLM-based applications and the data pipelines required to support them.
    • Experience working with unstructured data such as documents, text, or other content used in AI applications.
    • Familiarity with AI-powered software development tools such as GitHub Copilot, Cursor, Claude Code, or similar tools.
    • Understanding of modern AI/ML engineering practices, including model/data pipelines, evaluation, observability, and deployment workflows.

    Agam was founded in 2016 with the vision to create a cutting edge differentiated analytical platform. The execution towards this vision continued with the development of pALM, Agam's proprietary asset and liability management (ALM) system. Offering the only end-to-end enterprise-wide risk and capital analytic solution, Agam empowers strategic decision makers towards their capital optimization goals. With a fully embedded dynamic strategic asset allocation (SAA) and enterprise risk management (ERM) infrastructure, pALM supports Agam's ability to offer one stop, turnkey insurance solutions.

    Sourced from foundit

    Skills

    data qualityAI-powered software development toolsAimlmodern AI ML engineering practicesvector searchdata infrastructureSemantic SearchDocument Processingvector databasesEmbeddingsUnstructured DataData quality monitoringLLM-based applicationsAI-assisted software development toolsGenerative AiData Pipelinedata engineering solutions

    Data Engineer AI/ML · waiting for your command