Member of Technical Staff - Software Engineering

Exponential; Tübingen; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Equity

Remote-friendly

Conference budget

Research freedom

Job summary

Exponential in Tübingen is seeking an engineer to build environments and benchmarking systems at the core of our products. The role blends strong software engineering with hands-on work on AI agents, focusing on designing realistic environments, evaluating agent behavior, and making assessments reliable and useful.

You will work across software architecture, infrastructure, and implementation, collaborating with the team to turn research ideas into dependable tools and scalable backend and cloud

Qualifications

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

Responsibilities

• 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 ML systems.

Skills

Software engineering fundamentals

Backend development

Infrastructure / distributed systems

Decision making under ambiguity

AI systems interest

Tools

LLM APIs

Cloud infrastructure

Containers

Distributed workloads

Job description

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