Exponential Security Labs GmbH

Build realistic environments for AI agents and the infrastructure for RL training and benchmarking.

Location: Tübingen / Hybrid
Employment: Full-time

The role

You will build the environments and benchmarking systems at the core of our products. The role combines strong software engineering with practical work on AI agents: designing realistic environments, investigating agent behavior, and making evaluations reliable and useful. You will work across these problems with the rest of the team, with a particular focus on software architecture, infrastructure, and implementation.

What you’ll work on

• Build and maintain production software systems and realistic environments for AI agents
• Develop reliable backend and cloud infrastructure for RL training and benchmarking
• Turn research prototypes into dependable tools and products
• Improve developer workflows across backend, data, and machine-learning systems

What we’re looking for

• Strong software-engineering fundamentals and a record of shipping systems end to end
• Experience with backend development, infrastructure, or distributed systems
• Good judgment in ambiguous projects and the ability to choose practical designs
• Interest in AI systems and working across engineering and research

Useful experience

• Early-stage startup or small-team product development
• LLM APIs, agent systems, or ML platforms
• Cloud infrastructure, containers, queues, or distributed workloads
• Developer tools, evaluation platforms, or data-intensive applications

What we offer

• Competitive compensation with equity
• Flexible hours and a remote-friendly setup
• Vacation, learning, and conference budget
• Research freedom in a high-trust environment