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Capgemini

AI Engineer

Posted an hour ago
5-10 years experience
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AI Summary

Design and deliver production-ready GenAI solutions, including Document AI, OCR, and Agentic AI workflows. Implement LLM and RAG architectures while leveraging Python and cloud platforms to build scalable enterprise applications.

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

  • Design and deliver production-ready GenAI solutions from concept to deployment.
  • Build Document AI and OCR solutions to extract insights from unstructured documents.
  • Develop Agentic AI workflows with agents, orchestration, and automation capabilities.
  • Implement LLM and RAG architectures using embeddings, vector databases, and retrieval pipelines.
  • Leverage Python, APIs, and cloud platforms (preferably GCP) to create scalable enterprise AI applications.
 

Your Profile

  • 5+YOE building production-grade GenAI solutions, from architecture and development to deployment and monitoring.
  • Strong OCR and Document AI expertise, including extracting, classifying, and processing data from unstructured documents.
  • Hands-on experience designing Agentic AI systems, such as AI agents, multi-agent workflows, orchestration, tool calling, and human-in-the-loop processes.
  • Deep knowledge of LLMs and RAG architectures, including prompt engineering, embeddings, vector databases, and retrieval pipelines.
  • Strong Python and API development skills, with the ability to build scalable and maintainable AI applications.
  • Experience with cloud AI platforms, preferably GCP, or equivalent hands-on AI implementation experience in Azure or AWS.
  • Fluent English llevel

What you'll love

  • Work on meaningful projects that use technology to solve real-world challenges.
  • Be part of a company that values sustainability, inclusion, and digital equity.
  • Contribute to building a better future for people, planet, and society. 

Need to know

This role can be working from any state of Mexico

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. 

Job Description

Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets.

Job Description - Grade Specific

The involves leading and managing a team of data engineers, overseeing data engineering projects, ensuring technical excellence, and fostering collaboration with stakeholders. They play a critical role in driving the success of data engineering initiatives and ensuring the delivery of reliable and high quality data solutions to support the organizations data driven objectives.

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