Generative AI Engineer

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

YOUR ROLE

• As an AI Engineer, your role will be centered on designing and building the next generation of agentic AI systems for leading enterprise customers, with a strong focus on telecommunications.
• You'll architect autonomous and semi-autonomous agents that reason, plan, and act across complex enterprise environments — leveraging Model Context Protocol (MCP) to connect agents with tools, data sources, and enterprise systems.
• Develop multi-agent workflows, tool-calling pipelines, and retrieval-augmented architectures using state-of-the-art Generative AI models.
• Deploy and scale these solutions on Google Cloud Platform, collaborating with cross-functional teams to deliver AI products that move from prototype to production.

YOUR PROFILE

• Hands-on experience building Agentic GenAI systems — multi-step reasoning agents, tool use, planner-executor patterns, and multi-agent orchestration using frameworks such as LangGraph, LangChain, Google ADK, or similar
• Experience with Model Context Protocol (MCP) — building MCP servers and/or integrating MCP clients to connect agents with tools, data, and enterprise systems
• Strong GenAI expertise: prompt engineering, RAG, embeddings, vector stores, model evaluation, and production deployment of LLM-based applications
• Strong proficiency in Python and modern AI/ML frameworks
• Solid AI foundations: machine learning concepts, model evaluation, and understanding of LLM behavior and limitations
• Experience with Google Cloud Platform (GCP), including Vertex AI, Gemini models, and related AI/data services
• 3+ years of experience in AI development, with a focus on Generative AI
• Fluency in English (written and spoken)
• Nice to Have:
• Experience with Apache Kafka or other event-streaming platforms for real-time, event-driven agent architectures
• Experience with distributed processing platforms such as Apache Spark, Databricks, Google Cloud Dataproc, AWS EMR, or Azure Synapse for large-scale data and ML workloads
• Domain experience in the Telecommunications industry
• Hands-on experience consuming and integrating REST APIs in production systems
• Proficiency in SQL and working with data warehouses (e.g., BigQuery)
• Familiarity with agent evaluation frameworks and observability tooling (LangSmith, Langfuse, etc.)
• Fluency in Portuguese
  

What You'll Love About Working Here

• Join a multicultural and inclusive team environment.
• Enjoy a supportive atmosphere promoting work-life balance.
• Engage in exciting national and international projects.
• Hybrid work.
• Your career growth is central to our mission. Our array of career growth programs and diverse professionals are crafted to support you in exploring a world of opportunities.
• Training and certifications programs.
• Health and life insurance.
• Referral program with bonuses for talent recommendations.
• Great office locations.

About Capgemini

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology, and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.

Apply now!