5 days ago
Remote, MexicoSenior
Responsibilities
- Design and deliver production-ready GenAI solutions from concept through deployment and monitoring.
- Build Document AI and OCR solutions that extract, classify, and process insights from unstructured documents.
- Develop agentic AI workflows involving agents, multi-agent systems, orchestration, automation, tool calling, and human-in-the-loop processes.
- Implement LLM and RAG architectures using prompt engineering, embeddings, vector databases, and retrieval pipelines.
- Use Python, APIs, and cloud platforms to build scalable enterprise AI applications.
Requirements
- At least 5 years of experience building production-grade GenAI solutions across architecture, development, deployment, and monitoring.
- Strong expertise in OCR and Document AI for extracting, classifying, and processing unstructured-document data.
- Hands-on experience designing agentic AI systems, including 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 for scalable and maintainable AI applications.
- Experience with cloud AI platforms, preferably GCP, or equivalent hands-on AI implementation experience with Azure or AWS.
- Fluent English.
Benefits
- Work on meaningful technology projects addressing real-world challenges.
- Join a company focused on sustainability, inclusion, and digital equity.
- The role can be performed from any state in Mexico.
Tech Stack
Categories
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.