Senior AI Engineer

This is a fully remote position, open to applicants in Germany.

📋 Description

• Enhance and expand our proprietary hybrid engine, concentrating on the interaction between LLM-based reasoning and probabilistic logic.

• Develop and implement high-availability production code in Java and Python, ensuring compliance with security and scalability requirements.

• Oversee and improve our internal evaluation and validation frameworks, encompassing synthetic data generation, automated metric tracking, and model explainability.

• Collaborate with Medical Experts and AI Engineers to convert intricate medical requirements into technical specifications.

• Produce technical documentation for AI components intended for stakeholders and regulatory adherence (e.g., SaMD).

⛳️ Requirements

• A Master’s degree in a quantitative discipline (such as Computer Science, Statistics, Mathematics, Physics, or a related field). A PhD is advantageous but not mandatory.

• Over 3 years of industry experience in AI/ML or algorithmic development.

• Expertise in Python (primarily for AI/Logic) and Java (mainly for backend services).

• Practical knowledge of traditional ML and algorithms, including Probabilistic Graphical Models (PGMs).

• Direct experience with LLMs (preferably including RAG and Agents), with bonus points for experience in validating them in production environments.

• Strong understanding of contemporary DevOps practices (Containerization, CI/CD, Automated Testing) and AI-assisted development tools (e.g., Cursor, Claude Code).

• A significant level of independence and a preference for collaborative peer reviews and thorough documentation.

• Experience in cross-functional teams, with a solid foundation in mathematics, logic, or statistical modeling to facilitate rigorous problem-solving is a plus.

• Familiarity with the healthcare sector or other regulated industries (e.g., ISO 13485, MDR, SaMD), along with knowledge of Kotlin, advanced data visualization, or MLOps would be highly advantageous.

🏝️ Benefits

• Flexible working hours to promote a healthy work/life balance.

• 28 days of holiday, plus bank holidays for UK employees (30 days plus public holidays in Germany) to unwind, relax, and recharge.

• Corporate health insurance and pension scheme (UK).

• Assistance in establishing your home office setup, with an option for a co-working space subscription for remote employees.

• Parental benefits (including Nursery Benefits for the UK).

• Employee Assistance Programs to support your emotional wellbeing and help navigate life's challenges.

• Stay fit and healthy with a discounted ClassPass membership (or Urban Sports Club membership for our employees in Germany).

• Bike Leasing Scheme (Germany).

• Online Academy offering learning and development opportunities.