Working Student / Werkstudent — Applied AI - Software Engineering

The Role

You’ll help build real products across the software lifecycle: understand the problem → design → implement → release → improve. You’ll take ownership of well-defined tasks and features, with guidance, code reviews, and feedback from experienced engineers.

You’ll work closely with engineering, product, and design, and join customer conversations to understand requirements and share progress. We value curiosity, systems thinking, and a practical approach to turning ideas into working software.

You don’t need to know our entire stack. Bring solid foundations, some hands-on experience, and the motivation to learn by building.

What You’ll Do

Build with AI: use generative tools, work with our reusable components, and help test and evaluate AI-powered features.

Contribute to engineering decisions: explore solutions, discuss trade-offs with the team, and implement practical approaches.

Ship useful features: work with product and design to turn requirements into manageable tasks and working software.

Work across the stack: contribute to services, APIs, data pipelines, and frontends, depending on your strengths and the project.

Build with quality in mind: write maintainable code, test your changes, and help improve reliability and performance with support from the team.

Collaborate with clients: join discussions, help clarify requirements, demo your work, and incorporate feedback alongside experienced teammates.

Communicate clearly: document your work, ask questions early, and keep the team informed about progress and blockers.

Required Skills

Currently enrolled at a university, ideally in Computer Science, Software Engineering, or a related field.

Practical experience with JavaScript/TypeScript and some familiarity with Node.js and React/Next.js. Personal projects, coursework, internships, and open-source contributions all count.

Basic understanding of SQL and relational databases such as PostgreSQL, including how to structure and query data.

Familiarity with Git, APIs, debugging, and basic testing.

Interest in how systems fit together and a willingness to think through dependencies and trade-offs.

Clear written and verbal communication, including explaining your approach and documenting your work.

Initiative and follow-through: you can make progress on a defined task, use feedback, and ask for support when you need it.

Nice to Have

Some experience with Python, Rust, or Ruby.

Familiarity with caching, Redis, or event-driven systems such as Kafka.

First experience with AWS, Azure, GCP, or Cloudflare, especially Workers, Durable Objects, or KV.

Exposure to Docker, GitHub Actions, or infrastructure as code.

Experience with AI tools, evals, reusable components, internal tools, or project templates.

Experience writing short technical specs or documenting design decisions.

These are useful starting points. You’ll have opportunities to learn them on the job.

Typical Stack

You won’t be expected to work with every tool from day one.

Languages / Frameworks: Node.js, TypeScript, React/Next.js, Python; sometimes Rust or Ruby.

Data: PostgreSQL, ClickHouse, Redis, Airflow.

Messaging / Streaming / Workflows: Kafka, Temporal.

Cloud / Edge: GCP, Azure, or AWS; we particularly like Cloudflare—Workers, Durable Objects, KV, R2, and more.

Infra / Tooling: Docker, GitHub Actions, IaC with Terraform.

Perks and Benefits

Competitive compensation.

Paid time off aligned with your working schedule, plus applicable public holidays.

High-end laptop, learning budget, and extensive AI tooling.

Hands-on experience with real products, regular feedback, and support from experienced engineers.

Fully remote within Germany after successful onboarding.