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    Job · 17733183

    EPAM Systems logo

    Python AI Engineer - (Python, GenAI, LLM)

    EPAM Systems · Bengaluru · onsite · Posted 36d ago

    ₹30.0L - ₹45.0L PA6–11 yrsfulltimeSourced fromNaukri

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

    About this role

    Greetings from EPAM!

    We are pleased to invite you to participate in our Onsite Hiring Drive for Senior AI Engineer and Lead AI Engineer positions at our Bangalore office.

    Drive Details:

    • Date: Saturday, 19th Sep
    • Location: EPAM Pune Office
    • Employment Type: Full-Time with EPAM
    • Work Model: Hybrid

    About the Role:
    We are looking for experienced AI professionals with expertise in Generative AI, Agentic AI, LLMs, RAG architectures, and multi-agent systems. Candidates should have strong Python development experience and hands-on exposure to frameworks such as LangGraph, LangChain, Google ADK, CrewAI, AutoGen, Azure OpenAI, AWS Bedrock, or Google Vertex AI.

    Key Skills:

    • Python
    • Generative AI & LLMs
    • Agentic AI Frameworks (LangGraph, LangChain, Google ADK, CrewAI, AutoGen)
    • RAG & Vector Databases
    • Multi-Agent Systems
    • Prompt Engineering
    • FastAPI / REST APIs / Microservices
    • Azure OpenAI / AWS Bedrock / Google Vertex AI

    Looking forward to hearing from you.

    Best Regards,
    Archie Bhargava
    Talent Acquisition
    EPAM Systems


    Sourced from naukri

    Skills

    Django FrameworkPythonPython DevelopmentAgentic Ai

    About EPAM Systems

    EPAM Systems logo

    EPAM Systems

    IT Services & Consulting

    10.1k+

    employees

    1993

    33 years old

    Newtown, Pennsylvania, United States

    US

    ₹30L – ₹45L PA

    This role

    About

    EPAM Systems delivers digital transformation and product engineering solutions, addressing complex challenges in diverse industries through innovative technology.

    Industries

    IT Services & Consulting

    Employee ratings

    2,036 reviews

    3.7/ 5

    Culture

    3.7

    Career growth

    3.1

    Work-life

    3.8

    Employees rate it well for

    Learning283Salary270Work Life Balance256Work Culture180Senior Management176

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