Working Student Werkstudent — Applied AI Software Engineering

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

Youll 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 dont need to know our entire stack. Bring solid foundations some hands-on experience and the motivation to learn by building.

• 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.

• Currently enrolled at a university ideally in Computer Science Software Engineering or a related field.
• Practical experience with JavaScript/TypeScript and some familiarity with and React/. 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.

• 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. Youll have opportunities to learn them on the job.

You wont be expected to work with every tool from day one.

• Languages / Frameworks: TypeScript React/ Python; sometimes Rust or Ruby.
• Data: PostgreSQL ClickHouse Redis Airflow.
• Messaging / Streaming / Workflows: Kafka Temporal.
• Cloud / Edge: GCP Azure or AWS; we particularly like CloudflareWorkers Durable Objects KV R2 and more.
• Infra / Tooling: Docker GitHub Actions IaC with Terraform.

• 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.