Working Student AI Engineer

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 are looking for a Working Student (20h/week) who wants to move beyond "toy agents" and build the core infrastructure for reliable, agentic automation.

Your tasks

Work directly with the founder on high-autonomy production work:

• 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

This isn't about prototypes—you'll ship code that runs in production.

Requirements

• Python & FastAPI (Strict typing, Pydantic everywhere)
• Local/Sovereign LLMs (LiteLLM for abstraction)
• Vector Search (Qdrant) & Observability (Langfuse and OpenTelemetry)
• Architecture: Deterministic State Machines & Knowledge Graphs
• You know that ‘pip install openai’ is not an AI strategy.
• You want to learn how to build reliable agents that survive in production.
• You care about clean code, Docker, and git.

What 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.

How to apply

Send your application to join@artiquare.com:

• 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.