[Hiring] GenAI & Agentic AI Engineer @Capgemini

Role Description

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.

Qualifications

• 5+ years of experience 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 level.

Benefits

• 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.

Requirements

• This role can be working from any state of Mexico.