About us
Kiso Health is building the most empathetic and intelligent therapy platform for people living with schizophrenia. Our app is an MDR-certified medical device that combines evidence-based psychotherapy with cutting-edge AI.
We are looking for an experienced AI Engineer to take full ownership of our AI systems – from developing intuitive user guidance to building smart personalization of therapeutic content.
Your work will be a key pillar of our product strategy – directly impacting user experience, therapeutic effectiveness, and clinical outcomes.
Your Responsibilities
- Develop and integrate AI components for intelligent user guidance and individualized support
- Build a machine learning–based recommendation system for personalized therapy delivery
- Implement and manage LLM applications (API integration, prompt engineering, optional fine-tuning)
- Design safety and explainability features (e.g., SHAP, logging, confidence scoring)
- Collaborate closely with psychologists, UX designers, and product team to align AI logic with clinical needs
- Ensure compliance with regulatory standards (MDR, GDPR)
- Work with our CTO to integrate AI into our app infrastructure
Your Profile
- 3+ years of experience in Machine Learning and/or NLP, ideally in a healthcare context
- Strong proficiency in TensorFlow or PyTorch
- Hands-on experience with LLMs (e.g., GPT, Claude), prompt design, and API-based deployment
- Familiarity with explainable AI, data logging, and GDPR-compliant architectures
- A drive to build empathetic, meaningful AI – for people who truly need support
What We Offer
- The chance to build an AI system with measurable medical and societal impact
- Full ownership of the AI domain – from vision to implementation
- Company equity (VSOP) – you’ll share in our success
- A mission-driven, interdisciplinary team (psychology, medicine, tech)
- Remote-friendly setup, flexible hours, competitive salary
Ready to rethink therapy with us?
Send us your CV or project portfolio – especially if you’ve worked with GPT, personalized AI, or digital health applications. We’re excited to hear from you!
Wir freuen uns auf dich!