ai engineer for Generative AI applications

Capgemini Engineering; Lisboa; On-site; EUR 54,000 - 72,000; Full time

Benefits offered by this job

Health insurance

Career growth programs

Training and certifications

National and international projects

Job summary

Capgemini Engineering приглашает инженера по Generative AI для разработки приложений и рабочих процессов, поддерживающих критические бизнес‑процессы. Вы будете работать над моделями LLM, RAG, интеграцией инструментов и архитектурой AI‑решений.

Требования: степень в CS/AI, 2–5 лет опыта, сильный Python, FastAPI, SQL, Git, Docker, знание облачных платформ и английский/французский языки. Вдохновляющая команда, развитие карьеры и международные проекты.

Qualifications

• Степень в области информатики/ИИ или смежной технической дисциплины.
• Опыт разработки на Python и создания production‑grade приложений.
• Опыт работы с API (FastAPI) и базами данных (SQL).
• Опыт использования Git и контейнеризации (Docker).
• Опыт с Generative AI, RAG и облачными платформами.

Responsibilities

• Разработка и поддержка Generative AI приложений и рабочих процессов.
• Разработка AI‑решений на основе LLM, RAG, интеграции инструментов и многоагентной архитектуры.
• Сотрудничество с бизнес‑заказчиками для понимания требований и перевода их в решения.
• Участие в проектировании архитектуры, выборе технологий и стандартов инженерии AI.

Skills

Python

FastAPI

SQL

Git

Docker

Azure

AWS

GCP

API design

Prompt engineering

RAG

English

Generative AI

Communication

Education

Degree in Computer Science or related

Tools

CI/CD tooling

Poetry

pip

Docker

Job description

Описание

Capgemini Engineering is a global engineering services company that helps innovative organizations develop and apply engineering, digital, and software technologies across industries. It delivers R&D and engineering services, including solutions involving autonomous vehicles, robotics, AI, and software.

Задачи

• Design, build, and maintain Generative AI applications and agentic workflows supporting business‑critical processes
• Develop AI‑powered solutions using Large Language Models, Retrieval‑Augmented Generation, 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 for AI systems
• Design and develop APIs and backend services supporting AI applications and integrations
• Participate in deployment, testing, and continuous improvement 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

Требования

• 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
• 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 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, 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 technical and business audiences
• Fluent English and French

Условия

• Supportive atmosphere promoting work‑life balance
• Career growth programs
• Training and certifications in cutting‑edge technologies
• National and international projects
• Health and life insurance
• Referral program with bonuses for talent recommendations
• Great office locations