Capgemini

Python Gen AI Engineer

Capgemini Navi Mumbai, Maharashtra, India

IT Services and IT Consulting · 10,001+ employees

Oct 16
python Senior (5-10 yrs) Full-time India
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About the role

Design, develop, and deploy enterprise-grade Generative AI solutions using LLMs and RAG frameworks. Manage end-to-end MLOps and LLMOps pipelines while ensuring compliance with AI governance and security standards.

What they look for

Python Generative AI Large Language Models RAG Azure AWS SQL LLMOps MLOps OpenAI Anthropic Llama Prompt engineering Model evaluation AI governance Data privacy

Requirements

Requires strong expertise in Python, cloud platforms like Azure and AWS, and various foundation models. Candidates must be capable of collaborating with cross-functional teams to translate business requirements into scalable AI applications.

Benefits

Health checks Telemedicine Insurance Elder care Partner coverage New parent support Flexible work

Full description

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. 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.

Build and optimize AI applications utilizing OpenAI, Azure OpenAI, Anthropic, Llama, and other foundation models.

Develop scalable AI services and APIs using Python.

Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases and embedding models.

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.

Develop AI-powered chatbots, virtual assistants.

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.

Ensure compliance with AI governance, security, responsible AI, and data privacy standards.

Mentor junior team members and contribute to AI best practices and innovation initiatives.

What you'll love about working here

We offer a range of career paths and internal opportunities within Capgemini group.

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.

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.

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. 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. Make it real | www.capgemini.com

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