As an AI Backend Engineer, you will build the technical backbone of our Decision Intelligence platform. You develop scalable backend services that bring our forecasting and optimization models, agentic workflows, and our semantic data layer into productive use.
Requirements
- 2 to 5 years of professional experience as a Backend, Software, or AI Engineer in a product-oriented environment
- Solid backend foundation: Python with FastAPI and Pydantic, clean API design, asynchronous programming, PostgreSQL and Redis, containerization with Docker, and experience with CI/CD pipelines
- Strong product mindset: you don't just ask 'How do I build this?' but 'What are we building this for, for whom, and how will we know it has impact?'
- Practical experience with LLMs and agent systems: prompt engineering, tool use/function calling, RAG, eval frameworks, and production deployment
- Experience with cloud infrastructure, ideally AWS, as well as a good feel for Kubernetes and Infrastructure-as-Code with Terraform
Benefits
- Hardware setup to unlock full potential
- Personal learning budget (2000€ per year)
- Flexible working hours
- Monthly benefit budget of 60€
- Rich selection of snacks and drinks
- Direct access to frontier AI developments and learning sessions
- Quarterly Hacky Days
- Professional and social team events
- Bring four-legged friend to the office
