AI Engineer

About BeTomorrow

BeTomorrow is a digital product agency based in Bordeaux, France. For more than 20 years, our team of 70 passionate experts has been designing and building impactful digital products across web, mobile, AI and data. We combine technical excellence, product thinking and agile ways of working to create meaningful digital experiences.

Some of our achievements include:

• Live sports tracking solutions for PMU
• Augmented reality experiences for sailing events, including the Olympic Games
• The official G20 application for the European Union
• The TBM mobility application

We also develop our own AI products, including:

• ALLY, an AI-powered mobility platform
• Planéa, an AI companion for architects

As part of our AI team in Bordeaux, you will lead the design, development and industrialization of generative and agentic AI solutions for clients across luxury, healthcare, entertainment, industry and mobility sectors.

What you’ll do

• Design and build production-ready LLM pipelines
• Develop RAG architectures and autonomous AI agents
• Implement multi‑agent orchestration systems
• Industrialize AI solutions through deployment, monitoring and optimization
• Integrate AI capabilities into robust applications and backend services
• Make architecture decisions, including model selection and RAG vs fine‑tuning trade‑offs
• Design evaluation frameworks, benchmark datasets and regression testing strategies
• Optimize cost, latency and performance of AI systems
• Contribute to the growth of the AI practice through mentoring, knowledge sharing and continuous technology watch

Our technology stack

• Python
• LangChain
• Google ADK
• Vertex AI
• Azure AI Services

• FastAPI
• Spring Boot (Kotlin)
• NestJS

• PostgreSQL
• MySQL
• Firestore
• Vector databases

• AWS
• Azure
• Google Cloud Platform
• Terraform
• GitLab CI/CD

What we’re looking for

• Minimum 5 years of software development experience
• Proven hands‑on experience delivering generative AI solutions in production
• Strong expertise with production LLM systems: RAG, prompt engineering, AI agents, function calling
• Experience evaluating and monitoring AI systems: evaluation datasets, quality metrics, observability
• Strong software engineering foundations: Python, testing, CI/CD, containerization, software craftsmanship
• Experience with at least one major cloud provider (AWS, Azure or GCP) and its AI services
• Strong focus on code quality, maintainability and long‑term scalability
• Comfortable using AI‑assisted development tools such as GitHub Copilot, Claude or Cursor while maintaining sound engineering judgment

Nice to have

• MLOps and model industrialization experience (MLflow, Vertex AI, etc.)
• Deep learning expertise (PyTorch, TensorFlow)
• Fine‑tuning experience
• Interest in Green AI and responsible AI practices