Working Student AI Engineer
Primary stack
Job description
About the Position
Join us at Artiquare and help shape the future of generative AI!
Working Student AI Engineer
Become part of a passionate team, work on innovative projects and take the opportunity to develop yourself.
Responsibilities
- Build the orchestration layer for multi-agent systems handling real enterprise workflows
- Architect reliability infrastructure that makes LLMs production-ready
- Contribute to funded research projects
Requirements
-
Core Skills:
- Python
- FastAPI
- Docker
- git
-
Experience:
- Working Student (20h/week)
Nice to Have
- Knowledge of reliable agent development
- Experience with clean code practices
We Offer
- Remote-first / Munich Hybrid
- Real path to a full-time role
- Help build the Second Wave of AI
- Help shape the Munich AI Nexus community
About the Company
ArtiQuare is building the infrastructure for AI that actually works in production. BSFZ-certified, revenue-generating with active pilots and leads the Munich AI Nexus community for the appliedAI Institute.
We strongly believe that the best ideas only thrive in a good environment. This is why well-being, personal development, flexible work and individuality are essential to every one of us. And we don’t just say that, it’s the culture we live.
Application Process
- First Contact: We will review your application and get back to you within 5 business days. For technical roles, you might receive a small technical challenge to solve.
- Personal Impression: We would like to discuss the role with you, answer your questions, and get to know who you are as a person, what you are looking for, and where you want to go.
- Decision: Once both sides decide to proceed, we will finalize the details and conditions with you. We aim to reach this stage within 3 weeks.
Interested?
Send your application to [email protected]:
- Subject line must be:
Second Wave - [Your Name] - Application - Include your GitHub, your 'hardest bug' story, and your latest hackathon project in the body.
- No generic CVs. We read code, not PDFs.
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