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    Home/Jobs/Lead I - Software Engineering-Agentic AI, GCP

    Lead I - Software Engineering-Agentic AI, GCP

    UST

    Bengaluru / Chennai / Kochi / Pune / Thiruvananthapuram
    7+ years
    49 days ago
    ₹23–44 LPA
    Full-time
    Onsite

    Skills Required

    Google Cloud Storage (GCS)
    Large Language Model (LLM)
    LangChain
    Python
    AI Agent Development
    GCP
    BigQuery (BQ)
    Model Context Protocol (MCP)
    Google Agent Development Kit (ADK)
    Vertex AI
    Cloud Run
    Docker
    REST API
    JSON
    Microservices

    Description

    We are seeking a skilled and passionate AI Engineer to design, build, and productionize AI Agents for our next-generation Data Fabric platform.

    Company: UST

    Role: Agentic AI Engineer (Agent Development & GCP)

    Location: Bangalore, Chennai, Kochi, Pune, Thiruvananthapuram

    Experience:

    • Minimum 1 year of hands-on experience building, deploying, and operating AI Agents in a production environment

    Qualification:

    • Proficiency in Python for agent development, API integration, and cloud scripting
    • Solid understanding of Large Language Model (LLM) concepts
    • Experience designing and executing evaluation strategies for AI/LLM-based systems

    Role Focus: • AI Agent Design & Development: Design and implement production-ready AI Agents • MCP Integration: Integrate agents with enterprise tools and knowledge sources • GCP Services Integration: Build and manage integrations with core GCP services • Production Deployment: Deploy AI agents to production environments on GCP • Evaluation & Quality Assurance: Design and implement comprehensive evaluation strategies • Prompt Engineering & Context Management: Craft, version, and manage prompt templates • Observability & Monitoring: Instrument agents with logging, tracing, and ing • Collaboration: Work closely with data engineers, ML engineers, and solution architects

    Nice to have:

    • Hands-on experience with Google Agent Development Kit (ADK)
    • Practical knowledge of Vertex AI and GCP Model Garden
    • Experience building and maintaining AgentOps or MLOps pipelines
    • Familiarity with retrieval-augmented generation (RAG) architectures
    • Knowledge of Avro, Parquet, or other schema-on-read data formats
    • Experience in the financial services or regulated data industry
    • Exposure to CI/CD practices for AI/ML workloads
    • Familiarity with Lang Graph, Lang Chain, or other agent orchestration frameworks

    More skills:

    java, Lang Graph, Vertex AI Model Garden, RESTful API design, JSON data formats

    Prepare for this role

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

    Python for Everybody Specialization

    Coursera

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

    Python 3 Programming Specialization

    Coursera

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

    Functions, Tools and Agents with LangChain

    Coursera

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