AI Backend Engineer (f/m/d)

Role Overview

As an AI Backend Engineer, you will build the technical backbone of our Decision Intelligence platform. You will develop scalable backend services that bring our forecasting and optimization models, agentic workflows, and our semantic data layer into productive use. You will work in a hybrid setup, with 1–2 days per week in our Heidelberg office in close collaboration with Product, Forward Deployed/AI Engineers, and Data Scientists.

What You Will Do

You will design, build, and operate scalable backend services in Python with FastAPI and pydantic that productively support agent workflows, forecasting and replenishment. You will design clean APIs between the platform, agents, ML models, frontend, and customer systems (ERP, BI, planning tools) and ensure robustness and observability.

Why It Might Be a Fit

You will have a strong product mindset, thinking in terms of impact and customer value. You will have experience with LLMs and agent systems, cloud infrastructure, and containerization with Docker. You will be able to prototype quickly and close to the user, and make pragmatic trade-offs between speed, scalability, and maintainability.

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
• High level of ownership, appetite for ambiguity, and motivation to continuously develop yourself in backend engineering, agentic engineering, and your product perspective
• Clear, compelling communication, both technical and non-technical, with low ego
• Fluent English, bonus: native German or C1 level

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
• Dog-friendly office
• Barista skills and coffee conversations