AI Engineer (LLM + RL, Healthcare

About us
Kiso Health is developing an AI-powered therapy platform for individuals facing complex psychiatric disorders. Our product is an MDR-certified medical software (smartphone app) that combines evidence-based psychotherapy with cutting-edge artificial intelligence.

Our mission: to improve outcomes for severe mental health conditions and provide long-term digital support through intelligent, empathetic, and safe AI.

Aufgaben

Your Role

• Design and integrate AI components for empathetic user interaction and personalized therapy
• Build a Reinforcement Learning system (e.g., Contextual Multi-Armed Bandits)
• Implement a modular LLM architecture with prompt routing, fallback strategies, and safety layers
• Develop and integrate explainability features (e.g., SHAP, confidence scores, audit trails)
• Collaborate closely with psychologists, UX specialists, and product teams
• Ensure compliance with MDR, GDPR, and the EU AI Act

Qualifikation

Your Profile

• 3+ years of experience in Machine Learning / Reinforcement Learning / LLM applications
• Familiarity with small datasets and online learning techniques (e.g., bandit algorithms)
• Strong skills in TensorFlow, PyTorch, or JAX
• Experience with LLM API integration (e.g., GPT, Claude), prompt engineering, and safety layer design
• Proficient in explainable AI, logging, GDPR compliance – ideally in a healthcare context
• A passion for building AI that is empathetic, secure, and truly helpful – for people who need real support

Benefits

What We Offer

• Full ownership of the AI domain – from strategic planning to technical execution
• Opportunity to build a meaningful AI system with real medical and social impact
• Equity through VSOP – share in the success of our mission
• A highly interdisciplinary team with clinical, psychological, and technical expertise
• Remote-friendly setup, flexible working hours, and fair compensation

Ready to help us rethink therapy?

We’d love to see a project where you:

• Used a bandit system or RL model for personalization
• Developed an LLM system with routing or safety layers
• Built explainability features for sensitive applications

We look forward to hearing from you!