Senior AI/ML Engineer (m/w/d)
- Compensation
- Not disclosed
- Location
- Remote job
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Ml / AI
- Posted
Skills
Must have
- 8+ years of relevant industry experience, with a strong AI/ML background, at senior level or above.
- Hands-on experience designing, shipping, and operating LLM-powered products (RAG, agents) in live production. Research projects and prototypes alone aren’t enough here; we want to hear about systems r
- Hands-on experience with LLM evaluation, such as golden datasets, LLM-as-a-judge, or offline and online metrics, and with systematically improving prompts and models.
- Solid deep learning experience applied to real-world problems, with a focus on system-level integration rather than model training alone.
- Strong coding skills across the stack. Ours includes Python, Go, GitHub Actions, and AWS, and you’re comfortable reading and fixing code outside the main codebase.
- Proficiency in Python and at least one web framework (FastAPI, Django, Flask, …).
- Experience in environments where security and privacy are top priorities, such as PII redaction, LLM guardrails, and GDPR compliance.
- Experience leading, mentoring, and supporting other engineers.
- Experience shaping technical direction and making well-reasoned recommendations to product and business stakeholders, especially where strategy is still evolving.
- Clear communication in English with technical and non-technical people alike, the ability to explain complex topics simply, and a track record of collaborating well across teams.
- A solution-driven mindset: you analyze problems thoroughly and then drive them to resolution.
- Nice to have: experience in regulated industries such as healthcare or fintech, ideally including AI products certified as medical devices, and German language skills, since our customers are German-s
Full description
**Who are we?
Recare is one of the leading digital startups in the German healthcare industry and has set itself the task of rethinking healthcare with a platform for digital care coordination. We search, find and coordinate capacities so that the healthcare actors have more time for their patients.
Within a very short time, Recare was able to gather around 75 percent of German acute hospitals as well as more than 26,000 care and rehabilitation facilities on its digital platform. Renowned hospitals and hospital groups such as Vivantes, Sana Kliniken AG, München Klinik, Hannover Medical School and Essen University Hospital are among Recare’s customers and use the Recare platform.
We believe artificial intelligence will transform healthcare more profoundly than any technology since the internet, and we’re building that future today, not tomorrow. While the German healthcare sector has historically focused on the risks of new technologies, we see an unprecedented opportunity to solve the industry’s most pressing challenges with AI. With most German acute hospitals now using the Recare platform, we take our leadership responsibility seriously: we’re helping clinics achieve what once seemed impossible, from automation of administrative workflows with the Recare AI platform to unlocking billions in value through predictive analytics. The potential is real, the technology is ready, and the time is now.
**Role & team summary
As a senior member of the AI team, you will work on building cutting-edge agentic systems that work reliably in production environments where privacy and correctness are top priorities. This is a hands-on role: you will own key AI initiatives end to end and work across products, since the hardest problems here span more than one team.
Our team is small but growing fast; we are highly independent and hold ourselves accountable for the quality of our work. Technical excellence is expected, but our ideal colleague shares our passion for building impactful solutions that make it all the way into production. As one of our most experienced engineers, you will mentor others, help shape our AI technical strategy, and work with product and business stakeholders to turn open questions into clear recommendations. We want to improve society, not just brag about building fancy tech!
**What you’ll work on
- Agentic applications: Build robust chat and generative AI applications on agentic frameworks, designing and optimizing core agent behavior: routing, tool calls, context management, grounding, and instruction-following. Every output is a draft until a clinician releases it, and the system is built for that.