Senior AI Engineer

About the role

As our Senior AI Engineer, you will play a key role in advancing the development, validation, and supporting tooling of our patented hybrid AI architecture. Our core technology combines Probabilistic Graphical Models (PGMs) with Generative AI to deliver explainable, transparent, and clinically robust medical reasoning.

What you'll do

• Refine and scale our patented hybrid engine, focusing on the interface between LLM-based reasoning and probabilistic logic
• Write and deploy high-availability production code in Java and Python, ensuring adherence to security and scalability standards
• Maintain and extend our internal evaluation and validation frameworks, including synthetic data generation, automated metric tracking, and model explainability
• Work with Medical Experts and AI Engineers to translate complex medical requirements into technical specifications
• Provide technical documentation of AI components for stakeholders and regulatory compliance (e.g. SaMD)

What you'll need

• A Master's degree in a quantitative field (Computer Science, Statistics, Mathematics, Physics, or similar). A PhD is a plus but is not essential
• 3+ years of (industry) experience in AI/ML or algorithmic development
• Proficiency in Python (mainly for AI/Logic) and Java (mainly for backend services)
• Practical experience with classic ML and algorithms, such as Probabilistic Graphical Models (PGMs)
• Hands-on experience with LLMs (ideally including RAG and Agents). Bonus points for exposure to their validation in production
• Solid grasp of modern DevOps (Containerization, CI/CD, Automated Testing) and AI-assisted development (e.g., Cursor, Claude Code)
• A high degree of autonomy and a preference for collaborative peer reviews and documentation
• Experience working in cross-functional teams, with a strong foundation in mathematics, logic, or statistical modelling

Nice to have

• Exposure to the healthcare sector or other regulated environments (e.g., ISO 13485, MDR, SaMD)
• Familiarity with Kotlin, advanced data visualisation, or MLOps

What they offer

• Flexible working hours to maintain a healthy work/life balance
• 28 days holiday, plus bank holidays (30 days plus public holidays in Germany)
• Corporate health insurance and pension scheme
• Support to set up your home office space, with co-working space subscription option
• Parental benefits (Plus Nursery Benefits for the UK)
• Discounted ClassPass membership (or Urban Sports Club membership in Germany)