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    Home/Jobs/Python GenAI Lead

    Python GenAI Lead

    Capgemini

    Bengaluru
    8-13 years
    10 days ago
    ₹38–63 LPA
    Full-time
    Onsite

    Skills Required

    LangChain
    OpenAI Agents
    Agentic AI systems
    Python
    Microsoft Copilot
    APIs
    Microservices
    Automation scripts
    Azure
    GitHub Copilot

    Description

    Join Capgemini as a Python GenAI Lead and help leading organizations unlock the value of technology. You'll be empowered to shape your career and supported by a collaborative community of colleagues worldwide.

    Company: Capgemini

    Role: Python GenAI Lead

    Experience:

    • 8 to 13 years of expertise in Python and modern AI-assisted development

    Role Focus: • Develop backend systems using Python, including APIs, microservices, and automation scripts • Leverage Copilot for coding, testing, debugging, documentation, and refactoring tasks • Work with agentic AI tools and frameworks like Copilot Agents, LangChain, AutoGen, or OpenAI Agents • Integrate AI-driven automation into applications and cloud environments • Collaborate with teams on architecture and deployment

    More skills:

    Microsoft/GitHub Copilot

    Other:

    • Comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work
    • Personalized career guidance from leaders
    • Opportunities to work on cutting-edge projects in tech and engineering with industry leaders
    • Create solutions to overcome societal and environmental challenges

    Prepare for this role

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

    Python for Everybody Specialization

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    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.

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