Artificial Intelligence Engineer - Digital Health - DACH Remote

AI Engineer - Digital Health - DACH Remote

We are supporting a health technology company using artificial intelligence to improve access to diagnosis and care for complex and under-recognised medical conditions. Their platform combines advanced AI techniques with clinical expertise to help individuals navigate healthcare pathways more effectively and support earlier identification of potential health risks. Our multidisciplinary team includes engineers, researchers, physicians, and clinical scientists working together to build scalable, trustworthy AI systems for healthcare applications.

About the Role

They are searching for a Senior AI Engineer to contribute to the development, validation, and operationalisation of a hybrid AI platform that combines probabilistic reasoning with modern generative AI techniques. In this role, you will work on the design and evolution of intelligent systems that prioritise explainability, robustness, and production readiness in a regulated environment. You will collaborate closely with AI researchers, software engineers, and domain experts to translate complex requirements into scalable technical solutions. This is a fully remote role open to candidates based across the DACH region.

Preferred Background / Industry Experience

To succeed in this role, candidates should bring prior experience from the digital health, MedTech, biotech, pharmaceutical, or broader healthcare technology sectors. Given the complexity of developing AI systems in clinically sensitive and regulated environments, we are particularly interested in individuals who understand the unique challenges of healthcare data, clinical workflows, patient-facing technologies, and regulated software development.

Applicants should ideally have experience building or deploying AI/ML solutions within healthcare, life sciences, or other highly regulated industries, with an appreciation for explainability, validation, governance, and patient safety considerations. Experience collaborating with clinicians, researchers, or healthcare stakeholders is highly valued.

Candidates coming directly from digital health startups, MedTech companies, pharmaceutical organisations, healthcare AI vendors, or clinical software environments will be strongly preferred.

Responsibilities

• Improve and scale hybrid AI systems combining probabilistic logic and LLM-based reasoning
• Develop and maintain production-grade services and tooling in Python and Java
• Build and enhance evaluation frameworks, including synthetic data generation, automated benchmarking, and explainability tooling
• Collaborate with clinical and technical stakeholders to translate domain requirements into engineering solutions
• Produce technical documentation to support governance, validation, and regulatory processes
• Contribute to software quality, reliability, and deployment best practices

Qualifications

• Master’s degree in Computer Science, Mathematics, Statistics, Physics, or a related quantitative field
• 3+ years of industry experience in AI/ML, applied algorithms, or related engineering disciplines

Required Skills

• Strong programming skills in Python and Java
• Experience with probabilistic models, statistical reasoning, or classical machine learning approaches
• Hands-on experience working with LLMs, including areas such as retrieval-augmented generation (RAG), agents, or evaluation workflows
• Familiarity with modern software engineering and DevOps practices, including CI/CD, automated testing, and containerisation
• Ability to work independently while collaborating effectively in cross-functional teams
• Strong analytical and problem-solving skills

Preferred Skills

• Experience working in healthcare or other regulated industries
• Familiarity with standards or processes related to regulated software environments
• Exposure to MLOps, data visualisation, or JVM-based backend technologies
• Experience validating AI systems in production settings

Pay range and compensation package

Flexible working arrangements, competitive holiday allowance and benefits package, home office support and optional co-working access, health and wellbeing support programs, learning and development opportunities, inclusive and collaborative working environment.