Generative AI Engineer | Hybrid, Growth & Impact

Capgemini Engineering; Lisboa; Híbrido; EUR 45 000 - 70 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work environment

Health and life insurance

Referral program with bonuses

Great office locations

Resumo da oferta

Capgemini Engineering is seeking a hands‑on AI Engineer to design, build and maintain Generative AI applications and agentic workflows for business‑critical processes. You will develop AI solutions using LLMs, RAG, tool integration and multi‑agent architectures, collaborating with stakeholders to translate requirements into scalable tech solutions.

You will contribute to solution architecture, API and backend design, and robust AI system observability, while aligning with AI engineering

Qualificações

• Degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science or a related technical discipline.
• Between 2 and 5 years of experience in Software Engineering, AI Engineering or Data Engineering roles.
• Demonstrated 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 concepts such as ReAct, multi‑agent workflows, tool calling, structured outputs, human‑in‑the‑loop processes and memory patterns.
• Experience with at least one major cloud platform such as Azure, AWS or Google Cloud Platform.
• Understanding of containerisation technologies such as 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 effectively 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 understand requirements and translate them into scalable technical solutions.
• Contribute to solution architecture, technical design decisions and the definition of AI engineering standards. Implement evaluation, monitoring and observability capabilities to ensure the quality, reliability and performance of AI systems.
• Design and develop APIs and backend services that support AI applications and integrations. Participate in deployment, testing and continuous improvement activities throughout the AI solution lifecycle.
• Ensure solution robustness through software engineering best practices, code quality standards, version control and automated development workflows.
• Create and maintain technical documentation, design artefacts and knowledge‑sharing materials. Support demonstrations, workshops and stakeholder presentations while helping promote AI adoption across the organisation.
• Contribute to the 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

Generative AI

Python

APIs

SQL

Git

Docker

CI/CD

Cloud

Communication

Stakeholder management

English

French

Formação académica

Degree in Computer Science/Software Engineering/AI/Data Science

Ferramentas

FastAPI

Git

Docker

Poetry

CI/CD tooling

Cloud platforms (Azure/AWS/GCP)

Descrição da oferta de emprego

Capgemini Engineering is seeking a hands‑on AI Engineer to design, build and maintain Generative AI applications and agentic workflows for business‑critical processes. You will develop AI solutions using LLMs, RAG, tool integration and multi‑agent architectures, collaborating with stakeholders to translate requirements into scalable tech solutions.

You will contribute to solution architecture, API and backend design, and robust AI system observability, while aligning with AI engineering