Senior AI/ML Engineer (m/w/d)

Role overview As a senior AI/ML engineer, you will lead work to bring reliable generative AI and agentic systems into production for healthcare workflows. You will own initiatives across products, balancing useful automation with clinical review, privacy, and correctness, while helping guide the team’s technical direction and supporting other engineers.

Responsibilities - Design and build agentic chat and generative AI applications, including routing, tool use, context handling, grounding, and instruction following. - Evaluate system quality using observability data, tailored metrics, and user feedback; apply findings to improve prompts, models, and system design. - Develop logging, tracing, dashboards, metrics, and prompt-management practices for AI services. - Ship and maintain AI capabilities through REST APIs and web interfaces, including the supporting containerized and orchestrated infrastructure. - Apply security and privacy safeguards to systems that handle sensitive health information. - Advise on AI technical strategy, mentor colleagues, and turn emerging approaches into production-ready solutions.

Requirements - At least eight years of relevant industry experience and a strong AI/ML background at senior level or above. - Experience designing, deploying, and operating production LLM products, such as retrieval-augmented generation or agent systems; production experience with traditional ML systems is also relevant. - Practical experience evaluating LLMs, for example with curated test sets, model-based judging, or offline and online metrics, and using results to improve systems. - Strong deep learning and software engineering skills, including Python and a Python web framework; ability to work across codebases and contribute to APIs and infrastructure. - Experience with security and privacy requirements such as personal-data redaction, model safeguards, or GDPR compliance. - A track record of mentoring engineers and shaping technical decisions with product or business stakeholders.

Benefits and work setup - Fully remote work within European time zones, with hiring locations in Germany, Austria, Poland, France, Italy, Spain, and Portugal. - Flexible hours and workations by arrangement. - Edenred card and a day off for your birthday. - Work focused on healthcare and its impact on patients, families, and professionals.