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Python Gen AI Engineer

Capgemini · Mumbai

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Collected role description

Role overview

Python Gen AI Engineer at Capgemini

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible.

Responsibilities

  • Build and optimize AI applications utilizing OpenAI, Azure OpenAI, Anthropic, Llama, and other foundation models.
  • Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases and embedding models.
  • Develop AI-powered chatbots, virtual assistants.
  • Ensure compliance with AI governance, security, responsible AI, and data privacy standards.

Employment details

  • Location: Navi Mumbai [India]

About the employer

  • What you'll love about working here We offer a range of career paths and internal opportunities within Capgemini group.
  • Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value.
  • Make it real | www.capgemini.com

Benefits

  • You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work.

Additional role details

  • Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
  • Your Role We are seeking a highly skilled Generative AI Engineer with strong expertise in Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), GenAI Amplifier, Azure, AWS, SQL, LLMOps, and MLOps.
  • The ideal candidate will design, develop, deploy, and optimize enterprise-grade AI solutions leveraging advanced GenAI technologies and cloud platforms.
  • Your Profile Design, develop, and implement Generative AI solutions using LLMs and RAG frameworks.
  • Develop scalable AI services and APIs using Python.
  • Design and manage end-to-end MLOps and LLMOps pipelines for model deployment, monitoring, and governance.
  • Leverage GenAI Amplifier frameworks for rapid AI solution development and deployment.
  • Deploy AI applications on Azure and AWS cloud environments.Implement model monitoring, prompt engineering, model evaluation, and AI observability practices.
  • Collaborate with business stakeholders, architects, and cross-functional teams to translate business requirements into AI solutions.
  • Mentor junior team members and contribute to AI best practices and innovation initiatives.
  • At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges.
  • We imagine the future of organizations and make it real with AI, technology and people.
  • With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries.
  • We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.
  • The Group reported 2024 global revenues of €22.1 billion.