Python Gen AI Engineer

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.