Member of Technical Staff - Software Engineering

Exponential Security Labs GmbH; Tübingen; Hybrid; EUR 70.000 - 110.000; Vollzeit

Benefits dieser Stelle

Equity

Remote-friendly

Vacation budget

Learning budget

Conference budget

Zusammenfassung

Exponential Security Labs GmbH is seeking a Member of Technical Staff to build realistic environments and the infrastructure for RL benchmarking. The role combines strong software engineering with hands-on work on AI agents, focusing on software architecture, infrastructure, and implementation.

You will work across problems with the team, delivering production-grade environments and reliable tools for evaluating agent behavior and performance.

Qualifikationen

• Shipping production-grade systems end to end.
• Experience with backend development or distributed systems.
• Good judgment in ambiguous projects and practical designs.
• Interest in AI systems and cross-team collaboration.

Aufgaben

• 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

Kenntnisse

Software engineering

Backend development

Distributed systems

System design

Jobbeschreibung

Member of Technical Staff - Software Engineering

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

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