Join Capgemini as a Python Gen AI Engineer and contribute to shaping the future of technology. This role empowers you to advance your career within a supportive, global community, reimagining possibilities with leading organizations.

We are looking for a skilled professional with deep expertise in Generative AI, Python, LLMs, RAG, and cloud platforms like Azure and AWS. You will be instrumental in designing, developing, and deploying cutting-edge enterprise AI solutions.

Capgemini is a global leader in technology and business transformation, driving tangible business value through AI, technology, and people. With a rich history and a diverse team, we deliver end-to-end solutions powered by deep industry expertise and strong partner ecosystems.

Design and implement advanced Generative AI solutions utilizing LLMs and RAG frameworks. Develop and optimize AI applications with leading foundation models such as OpenAI, Azure OpenAI, Anthropic, and Llama. Build scalable AI services and APIs using Python, and create robust RAG pipelines with vector databases. Manage end-to-end MLOps and LLMOps pipelines for seamless model deployment and monitoring. Leverage GenAI Amplifier frameworks for accelerated AI solution development and deployment. Develop intelligent chatbots and virtual assistants, deploying them on Azure and AWS cloud environments. Implement critical AI practices including model monitoring, prompt engineering, evaluation, and observability. Collaborate with stakeholders to translate business needs into effective AI solutions. Ensure adherence to AI governance, security, responsible AI, and data privacy standards.

Proven experience in designing, developing, and deploying Generative AI solutions. Strong proficiency in Python, LLMs, RAG, and cloud platforms (Azure, AWS). Experience with foundation models (OpenAI, Azure OpenAI, Anthropic, Llama) and MLOps/LLMOps. Familiarity with vector databases, embedding models, and API development. Ability to implement AI observability, prompt engineering, and model evaluation techniques. Experience in developing AI-powered chatbots and virtual assistants. Understanding of AI governance, security, responsible AI, and data privacy principles. Excellent collaboration skills and the ability to mentor junior team members. This is an experienced professional role, requiring a solid foundation in AI and software engineering principles.