
Required skills
Job description
AI Phase posted this role. Below, we break down what it means for a working student in Munich: your weekly hours, take-home pay and visa limits.
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Description provided by AI Phase
About the Role
At AI Phase, we are looking for a Working Student to join our team and work hands-on on ambitious AI projects for large enterprise customers.
You’ll work directly with our AI team and our customers to design and build production-ready Agentic AI systems from architecture and prototypes to implementation and deployment.
This is not a role where you’ll just observe or work on isolated student tasks. You’ll contribute directly to real customer projects, take ownership of technical components, and see the systems you build being used in practice.
What you will work on
- Design and implement AI agents and multi-agent systems
- Build agent workflows using LangChain / LangGraph and more
- Implement tool calling, RAG and enterprise AI integrations
- Connect AI applications with existing enterprise systems and data sources
- Develop, test and improve components intended for production use
- Collaborate closely with the AI Phase team and our client
What we are looking for
- Strong coding skills in Python and/or TypeScript
- Experience with LangChain / LangGraph
- Understanding of AI agents, multi-agent systems, tool calling and RAG
- Experience with Langfuse is a plus
- Interest in building robust AI systems beyond prototypes
- Ability to work independently and take ownership
This role is particularly suitable for Master’s students or advanced Bachelor’s students in Computer Science, Data Science, AI or related fields. Your ability to actually build things and your enthusiasm for Agentic AI matter more to us than your specific degree program.
What we offer
- highly competetive salary + bonus
- Work directly on a production AI system
- Opportunity to travel, with transportation, accommodation, meals and other project-related travel costs covered
- Close collaboration with our AI team
- High degree of responsibility and direct impact
- Steep learning curve in Agentic AI and Enterprise AI
Hiring Process
Our process is straightforward: after reviewing your application, selected candidates will be invited to a short introductory conversation followed by a technical discussion focused on your previous projects, coding experience and experience with Agentic AI. Responses are very swift.
Working student essentials
What this Tech working student role in Munich means for you: the weekly-hours rules, the social-contribution perks, and what international students should check before applying.
Weekly hours
Working students may work up to 20 hours a week during the semester and full-time during the breaks. Staying within this keeps your student status and the Werkstudent benefits.
Working student rulesSocial contributions
Under the Werkstudentenprivileg you're exempt from health, care and unemployment insurance contributions — only pension insurance applies. That leaves more net pay than a regular job.
Check your insuranceInternational students
Non-EU students can work 140 full or 280 half days per year (raised from 120/240 in March 2024). A working student contract usually fits within this — confirm the exact limits printed on your residence permit.
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