What you will work on
- Build small agents and AI workflows and connect them to useful tools or data sources.
- Test results against clear examples and document limitations.
- Work with software and platform colleagues to make prototypes reliable enough to use.
- Share what you learn so the team can build on your experiments.
What you bring
- Current enrolment in a technical or related degree programme
- Initial programming experience, for example in Python or TypeScript
- A small AI project of your own and curiosity about testing its results critically
- Willingness to ask questions and work through problems with others
What we offer
- Unlimited tokens for Claude, OpenAI and the latest, most advanced AI tools
- Professional exchange within the team, across the Atlassian ecosystem as a Platinum Partner, and through the XALT AI Circle and IT Revolution
Your working arrangements
We value working together in the office: developing ideas, learning from one another and talking things through in person. Living in or around Munich or Leipzig is therefore a plus. Remote work is also possible. If you live further away, we would still love to hear from you. Together, we will discuss an arrangement that works for you, your team and the role.
Your schedule can be arranged around your studies. We will agree the weekly hours and how the work fits your timetable with you.
Our professional community
Exchanging ideas with others is part of what we enjoy about this work. For our XALT AI Circle in Munich in autumn 2026, we have invited Peter Steinberger of the OpenClaw Foundation to discuss personal agents. In October 2026, Philipp Göllner spoke at the Enterprise AI Summit in Charlotte about how our team built a Chief of Staff agent. We plan to represent XALT again at the summit in Portland in May 2027. For a closer look at our work, see Philipp’s talk from Charlotte.
Your AI example
We would like to understand how you approach problems and what you have learned along the way. Bring a small AI project of your own, for example from your studies or spare time, and show it to us live. Walk us through what you built, whether it works consistently, and what it taught you about its limits. One example is enough; you can recreate it with test data. Please do not share confidential information or protected code.
Your application
Does this sound like work you would enjoy? We would love to hear from you. Send your CV to careers@xalt.de and tell us what you would like to work on. The conversation should also give you room to ask about the team, your responsibilities and what you need to do good work. We will discuss the interview arrangements and your AI demonstration with you personally. You can also send any questions beforehand to careers@xalt.de.