At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D; and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. YOUR ROLE: We are seeking a talented and motivated Sr AI Engineer to design, develop, and deploy scalable AI and Generative AI solutions that address complex business challenges and drive measurable business value. The ideal candidate combines expertise in machine learning, large language models (LLMs), cloud-native AI platforms, and modern software engineering practices to deliver production-ready intelligent applications.

Key Responsibilities
• Participate in the design, development, deployment, and maintainance of end-to-end AI and Generative AI solutions that address business challenges and drive measurable outcomes.
• Contribute to solution design, architecture discussions, and deployment strategies across AI initiatives.
• Build and optimize machine learning models, Large Language Model (LLM) applications, and Retrieval-Augmented Generation (RAG) architectures.
• Develop scalable APIs, microservices, and backend services to integrate AI capabilities into enterprise applications.
• Continuously evaluate emerging AI technologies, frameworks, and industry trends to drive innovation and improve development practices.

YOUR PROFILE
• Bachelor Degree in Computer Sciences or equivalent
• 4+ years of overall experience in and 1+ years of experience in AI
• Strong experience in Python, APIs,



microservices and SW development best practices.
• Working experience using Azure OpenAI, Azure AI Services, & Prompt Engineering, RAG & Retrieval, Function & Tool Calling, LLMs, AI agents and workflow orchestration
• Knowledge of Architecture & Design, Data Governance & Security, Observability & Evaluation, FinOps (cost optimization), Responsible AI
• Hands-on experience with Docker, Kubernetes, and CI/CD pipelines for deployments.
• Experience leveraging AI services such as Vertex AI, Gemini, OpenAI, Anthropic, Hugging Face, or equivalent platforms.
• Familiarity with vector databases such as Pinecone, FAISS, Weaviate, or similar technologies
• Advanced English Communication. WHAT YOU´LL LOVE: -Work on meaningful projects that use technology to solve real-world challenges. -Exposure to top general companies working with Capgemini (145 of the Fortune 500 companies). -Thrive in a diverse, respectful, and inclusive environment. ABOUT CAPGEMINI: 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 over 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. At Capgemini Mexico, we aim to attract the best talent and are committed to creating a diverse and inclusive work environment, so there is no discrimination based on race, sex, sexual orientation, gender identity or expression, or any other characteristic of a person. All applications welcome and will be considered based on merit against the job and/or experience for the position.

📌 Mid AI (México)
🏢 Capgemini Engineering
📍 México