Generative AI Engineer - LLMs, RAG & AI Solutions

Capgemini Engineering; Lisboa; Híbrido; EUR 55 000 - 75 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work

Health and life insurance

Referral program

Great office locations

Resumo da oferta

Capgemini Engineering in Portugal is seeking a skilled AI Engineer to design, build and maintain Generative AI applications. You will work on LLMs, RAG, and multi-agent architectures, delivering production-grade solutions with robust APIs and backend services.

Hybrid work in Lisbon, collaboration across global teams, strong emphasis on code quality, documentation, and stakeholder communication. Fluent English and French are required as part of a multilingual tech environment.

Qualificações

• Degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science or a related technical discipline.
• 2-5 years of experience in Software Engineering, AI Engineering or Data Engineering roles.
• Experience building applications using Generative AI technologies.
• Strong Python programming skills and experience developing production-grade applications.
• Experience designing and developing APIs using FastAPI or similar frameworks.
• Good knowledge of SQL and data manipulation techniques.
• Understanding of software engineering principles, system design and repository organisation.
• Experience using version control systems such as Git.
• Familiarity with Retrieval-Augmented Generation (RAG) architectures and context retrieval strategies.
• Understanding of agentic design patterns, orchestration frameworks and AI workflow concepts.
• Knowledge of prompt engineering techniques, context management strategies and LLM evaluation approaches.
• Familiarity with ReAct, multi-agent workflows, tool calling, structured outputs and memory patterns.
• Experience with Azure, AWS or Google Cloud Platform and Docker.
• Familiarity with dependency management tools such as Poetry, uv, pip or equivalent.
• Experience with CI/CD concepts and modern software development practices.
• Strong communication and stakeholder management skills.
• Ability to explain technical concepts to both technical and business audiences.
• Fluent English and French.

Responsabilidades

• Design, build and maintain Generative AI applications and agentic workflows supporting business-critical processes.
• Develop AI-powered solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), tool integration and multi-agent architectures.
• Collaborate with business stakeholders and subject matter experts to translate requirements into scalable technical solutions.
• Contribute to solution architecture, technical design decisions and AI engineering standards; implement evaluation, monitoring and observability for AI systems.
• Design and develop APIs and backend services that support AI applications and integrations; participate in deployment, testing and continuous improvement.
• Ensure solution robustness through software engineering best practices, code quality, version control and automated workflows.
• Create and maintain technical documentation, design artefacts and knowledge-sharing materials; support demos, workshops and stakeholder presentations.
• Contribute to evolution of AI engineering practices, frameworks and reusable components.
• Collaborate with data, engineering and business teams to identify opportunities for innovation and business value creation through Generative AI.

Conhecimentos

Python

FastAPI

APIs

LLMs

RAG

Agentic design

Git

Cloud platforms

Docker

Poetry

Formação académica

Bachelor's degree in Computer Science or related

Ferramentas

Docker

Poetry

CI/CD

Descrição da oferta de emprego

Capgemini Engineering in Portugal is seeking a skilled AI Engineer to design, build and maintain Generative AI applications. You will work on LLMs, RAG, and multi-agent architectures, delivering production-grade solutions with robust APIs and backend services.

Hybrid work in Lisbon, collaboration across global teams, strong emphasis on code quality, documentation, and stakeholder communication. Fluent English and French are required as part of a multilingual tech environment.