Working Student – AI & Operations

• Translate operational needs: Act as the bridge between business workflows and technical implementation by translating requirements into clear specifications for AI solutions.
• Design & refine AI workflows: Apply prompt engineering and modern AI techniques (e.g., structured prompting, iteration, and evaluation) to design, test, and improve AI agent capabilities continuously.
• Build lightweight integrations: Create simple automations and connections that link the AI agent with the core data and tools our operational teams use daily.
• Evaluate & document performance: Systematically test agent outputs, document findings, and measure improvements to guarantee reliability and accuracy over time.
• Collaborate dynamically: Partner closely with Operations, Product, Data, and Platform colleagues to respond quickly to ad-hoc operational requests and shape ongoing process improvements.

Essential Skills & Qualifications:

• Fluent in German.
• Currently enrolled as a student in Computer Science, Data Science, Engineering, or a related technical field.
• Basic programming skills (e.g., Python) to build lightweight scripts or automations.
• Practical interest and hands-on experimentation with large language models, AI tools, and prompt engineering.
• Strong problem-solving mindset with the ability to break down real-world processes into clear, logical steps.
• Clear communication skills with the confidence to talk to non-technical stakeholders and translate their feedback into requirements.
• High curiosity, initiative, and an eagerness to learn, iterate, and experiment quickly

Preferred Skills:

• Familiarity with AI/agent frameworks or platforms (such as OpenAI, Vertex AI, or similar tools).
• Interest in process improvement, business operations, digital health, or healthcare environments.