Senior AI/ML Engineer

Job not on LinkedIn

🔥 4 minutes ago

🌐 Germany, Austria, +5 more countries – Remote

🇩🇪 Germany – Remote 🇦🇹 Austria – Remote 🇵🇱 Poland – Remote 🇫🇷 France – Remote 🇮🇹 Italy – Remote 🇪🇸 Spain – Remote 🇵🇹 Portugal – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Recare

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

⚕️ Healthcare Insurance

☁️ SaaS

💰 Venture Round on 2022-12

Healthcare • Healthcare Insurance • SaaS

Recare is a digital platform that provides efficient discharge management solutions for hospitals, nursing homes, rehabilitation centers, and home care companies. It facilitates a seamless transition from hospital to aftercare by managing and coordinating patient care efficiently through digital processes. Recare aims to optimize patient discharge processes, reduce costs, save time, and enhance the overall patient care experience. Their platform is utilized across a wide range of healthcare providers, enabling encrypted communication and integration with existing systems. It's recognized and supported by European regional development funds and leading healthcare institutions.

📋 Description

• Build robust chat and generative AI applications on agentic frameworks • Design and optimize agent behavior, including routing, tool calls, context management, grounding, and instruction-following • Ensure AI outputs remain drafts until released by a clinician • Measure agentic-system value through observability data, custom evaluation metrics, and user feedback • Improve prompts, models, and system design based on evaluation results • Set up and improve logging, tracing, metrics, dashboards, and prompt management • Develop and maintain infrastructure that deploys AI agents into REST APIs and web UIs • Handle containerization, orchestration, and API development • Embed security best practices and uphold compliance to protect sensitive health information • Track new AI developments and turn promising approaches into production-ready implementations • Own key AI initiatives end to end across products • Mentor engineers and help shape AI technical strategy • Work with product and business stakeholders to turn open questions into clear recommendations

🎯 Requirements

• 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, including RAG and agents, in live production • Experience productionizing traditional ML systems or LLM systems • Hands-on experience with LLM evaluation, including golden datasets, LLM-as-a-judge, offline and online metrics • Experience systematically improving prompts and models • Solid deep learning experience applied to real-world problems • Strong coding skills across the stack • Comfortable with Python, Go, GitHub Actions, and AWS • Proficiency in Python and at least one web framework such as FastAPI, Django, or Flask • Experience with security and privacy practices, including PII redaction, LLM guardrails, and GDPR compliance • Experience leading, mentoring, and supporting other engineers • Experience shaping technical direction and making recommendations to product and business stakeholders • Clear communication in English with technical and non-technical people • Ability to explain complex topics simply and collaborate across teams • Solution-driven mindset with thorough problem analysis and resolution • Experience in regulated industries such as healthcare or fintech is nice to have • Experience with AI products certified as medical devices is ideally included in regulated-industry experience • German language skills are nice to have • Legally authorized to work in Germany/the EU

🏖️ Benefits

• Growth and development opportunities, including ownership of new projects, deepening technical leadership, and exploring new AI approaches • Purposeful work impacting patients, families, and healthcare professionals • Flat hierarchies • Strong team dynamics • Culture of mutual respect, loyalty, and recognition • Fully remote work • Flexible hours • Workations by arrangement • Edenred card to use according to your needs • Birthday off