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    Home/Jobs/Agentic AI engineers with Azure/AWS

    Agentic AI engineers with Azure/AWS

    Tata Consultancy Services (TCS)

    Chennai
    5+ years
    11 days ago
    ₹23–44 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    RAG
    LangChain
    LlamaIndex
    Embeddings
    Vector Database
    LangGraph
    CrewAI
    AutoGen
    Prompt Tuning
    LoRA
    PEFT
    FAISS
    Pinecone
    ChromaDB

    Description

    Hiring Agentic AI engineers skilled in Azure and AWS to design and deploy AI agent systems and scalable backend services.

    Role: Engineer

    Location: Delhi, Noida, Gurugram, Chennai, Kochi, Pune, Bangalore, Hyderabad, Indore, Mumbai, Kolkata, Bhubaneshwar

    Experience:

    • 5+ years

    Qualification:

    • Bachelor of Engineering

    Responsibilities:

    • Design and develop AI agents and multi-agent systems
    • Build scalable backend services
    • Develop, train, evaluate, and deploy ML/LLM solutions
    • Fine-tune LLMs using advanced techniques
    • Implement vector search solutions
    • Manage ML lifecycle, experimentation, and model governance
    • Deploy AI workloads on AWS services
    • Apply feature engineering, statistical modeling, explainable AI, and model optimization
    • Collaborate with product, engineering, and business teams to deliver production-grade AI solutions

    More skills:

    Python, Asyncio, FastAPI, PyTorch, Scikit-learn, MLflow, AWS Bedrock, SageMaker, Step Functions, ECR, Feature engineering, Statistical modeling, Explainable AI, SHAP, LIME, Artificial Intelligence, AWS, Azure

    Other:

    • Job function: IT Infrastructure Services
    • Job Id: 421513
    • Desired skills include Artificial Intelligence, AWS, Azure, Python

    Prepare for this role

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

    Generative AI with Large Language Models

    Coursera

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

    Functions, Tools and Agents with LangChain

    Coursera

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

    Large Language Models: Application through Production

    edX

    Production-focused LLM course covering deployment, monitoring, and scaling.

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