GFT Technologies SE
Capgemini
AI Engineer
Diversity, Inclusion, and Belonging
Are you passionate about technology, innovation, and want to be part of an inclusive, collaborative, and constantly evolving environment? Then this opportunity is for you!
At Capgemini, we value work-life balance. That's why we offer flexible work models, which can vary between remote, hybrid, or in-office, depending on project needs. Our goal is to provide the best experience for you, respecting your lifestyle and promoting well-being.
At Capgemini, you can be who you are. We value diversity in all its forms and promote an inclusive environment through committees such as:
- Women@Capgemini – Female empowerment and gender equality.
- Capgemini Black – Representation and appreciation of Black culture.
- LGBTQIA+@Capgemini, Capgemini Accessibility, among others.
Our commitment is ongoing: we are recognized by GPTW, Bloomberg Gender Equality Index, EDGE, and Ethisphere as one of the most ethical and inclusive companies in the world. Our openings are for everyone, regardless of color, ethnicity, religion, age, gender identity, sexual orientation, or disability.
Make it Real
At Capgemini, we unleash human energy through technology to build a more inclusive, sustainable, and innovative future. If you share these values, come transform the world with us!
Responsibilities
- Design, develop, and evolve solutions based on Generative Artificial Intelligence using agent and multi-agent system architectures.
- Implement agent orchestration flows using LangGraph, ensuring scalability, traceability, and operational efficiency.
- Develop and optimize RAG (Retrieval-Augmented Generation) pipelines for the use of corporate databases, documents, and structured and unstructured knowledge sources.
- Build integrations between AI agents, corporate applications, and external services through MCP (Model Context Protocol), APIs, and microservices.
- Develop microservices in Python to support AI applications in distributed and high-availability environments.
- Define cloud-based solution architectures, ensuring security, performance, observability, and governance. Implement communication, coordination, and collaboration mechanisms between multiple specialized agents.
- Participate in the entire development cycle of AI solutions, from conception and architecture to deployment, monitoring, and maintenance.
- Act in the creation of best practices, technical standards, and guidance for development teams in AI initiatives.
Generative. Qualifications
- Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related fields.
- Solid experience with Python for developing AI applications and backend. Practical experience in building multi-agent systems (Agentic AI) and agent-oriented architectures.-
- Advanced knowledge in LangGraph for orchestrating agents and complex flows.-
- Experience in implementing RAG (Retrieval-Augmented Generation) based solutions.
- Experience with MCP (Model Context Protocol) for integrating agents with tools, databases, and corporate systems.
- Knowledge of microservices architecture, APIs REST, and system integration.
- Experience in Cloud environments (AWS, Azure, or GCP).
- Knowledge of relational databases, NoSQL, and vector databases for AI applications.
- Experience with code versioning, CI/CD, and DevOps practices.
Development and Benefits
Here, you are the protagonist of your career! We offer:
- Structured career plan and personalized learning paths.
- Corporate University, with access to Harvard, Pluralsight.
- Official certifications with partners like SAP, AWS, Microsoft, Salesforce.
- Languages with EF Education First (English, Spanish, French, and German).
Complete well-being
- Medical and dental assistance.
- Totalpass and Equilibrium (physical and mental health).
- Private pension plan and life insurance.
- Family Care Program: extended maternity and paternity leave, fertility support, personalized health and well-being guidance.
- Meal voucher, home office allowance, benefits club, and much more!
