Posted Aug 11
About Recare
As one of the leading German HealthTech companies, we are reshaping discharge management – technology-driven, patient-centered, and free from bureaucracy. In addition to our market-leading SaaS platform, we develop AI solutions that radically simplify processes in hospitals and for aftercare providers, relieve healthcare professionals, and refocus attention on patients. Today, we already connect two-thirds of all German hospitals with over 650 rehabilitation clinics and 25,000 nursing and homecare providers. With currently around 100 employees, we continue to grow – and we are looking for people with character who want to help us improve the healthcare system.
What to expect as our AI / ML Engineer (m/w/d):
Purposeful work – your role will have a positive impact on patients, their families, and healthcare professionals.
Company culture – we believe in flat hierarchies that promote high performance and strong team dynamics. We foster an environment characterized by mutual respect, loyalty, and recognition. Together, we strive for our goals – and expect the same from you.
Flexibility – want to pick up your child from daycare? Like to exercise during lunch? We’ll support you. We are a remote-friendly company offering flexible working hours. Workations are also possible by arrangement.
Edenred card – which you can use according to your needs.
Extra vacation day – so you can celebrate your birthday with your loved ones, you’ll have the day off.
In this role, you can make an impact and grow with us as AI / ML Engineer (m/w/d):
As a core 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. You will have ownership of a small set of projects (ideally one) since we believe that minimizing context switches and enabling engineers to focus continuously is fundamental to building great applications.
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 bridge the gap between research and systems currently used in production. We want to improve society, not just brag about building fancy tech!
Agentic Applications: Build robust chat and other generative AI applications leveraging agentic frameworks. You will be responsible for designing and optimizing core agent behavior, including routing, tool calls/responses, context management, grounding, and instruction-following.
Deployment and Integration: Develop and maintain infrastructure for deploying AI agents and generative AI applications for use in, e.g., REST APIs or web UIs, including containerization, orchestration, and API development.
GenAI Observability: Set up and optimize generative AI observability pipelines, including logging, tracing, metrics, dashboards, and prompt management.
Performance Evaluation: Quantify the real value of agentic systems based on observability data, custom evaluation metrics, and user feedback.
Safeguarding Health Data: Embed security best practices and uphold compliance to protect sensitive health information.
State-of-the-Art Technology & Implementation: Stay up to date with cutting-edge AI technologies, and translate them into technical reports, papers, and production-ready implementations.
Here’s how we picture you as our AI / ML Engineer (m/w/d):
You are passionate about healthcare or other important but difficult-to-disrupt industries; you are motivated by the possibility of making a meaningful contribution in highly regulated, high-stakes environments.
You have proven experience in designing, building, and deploying high-performance generative AI applications (RAG, Agents) in live production environments.
You have strong coding abilities and are comfortable working across the stack (for context, ours includes Python, Go, GitHub Actions, and AWS, among other technologies), including reading, understanding, and fixing issues outside of the main codebase.
You have experience working in environments where security and privacy are top priorities, including work with personally identifiable information (PII) redaction, LLM guardrails and GDPR compliance.
You have solid experience with deep learning and applying AI or ML models to solve real-world problems, with a focus on system-level integration rather than solely model training.
You are proficient in Python and at least one related web framework (FastAPI, Django, Flask...).
You possess excellent verbal and written communication skills, with a proven ability to articulate complex concepts to diverse audiences.
Some of the above doesn't line up perfectly with your experience? No problem, more than just a checklist of skills, we are looking for people who share our passion and drive. If you're ready to dedicate yourself to a meaningful mission alongside a team that feels the same, this is your opportunity.
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