Senior AI/ML Engineer

Recare; Berlin; Hybrid; EUR 110,000 - 150,000; Full time

Benefits offered by this job

Remote work flexibility

Office in Berlin Mitte

Learning budget

Birthday off

Edenred card €50 monthly

MacBook Pro provided

Team meetups & events

Flexible hardware budget

Job summary

Recare is seeking a senior AI engineer to lead the design, implementation, and production launch of agentic AI systems. You will own end-to-end AI initiatives across products, mentoring teammates and shaping the technical strategy while ensuring privacy and correctness in production deployments.

You will work across teams to turn open questions into concrete recommendations, with a strong focus on real-world impact, regulation compliance, and hospital-grade reliability.

Qualifications

• 8+ years of relevant industry experience.
• Hands-on leadership and mentoring of engineers.
• Experience designing and operating LLM-powered products in production.
• Experience with RAG, agents, and production-ready AI systems.

Responsibilities

• Own key AI initiatives end-to-end across products.
• Build and deploy agentic systems in production with privacy and correctness.
• Mentor engineers and shape AI technical strategy.

Skills

Deep learning

Python

LLM

Production AI

Mentoring

AI strategy

REST APIs

Web frameworks

Tools

Docker

Kubernetes

GitHub Actions

AWS

FastAPI

Django

Job description

• 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!
• 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
• Evaluation: Measure the real value of agentic systems through observability data, custom evaluation metrics, and user feedback, and use those results to improve prompts, models, and system design
• GenAI observability: Set up and improve logging, tracing, metrics, dashboards, and prompt management for our AI systems
• Deployment and integration: Develop and maintain the infrastructure that ships AI agents into REST APIs and web UIs, including containerization, orchestration, and API development
• Safeguarding health data: Embed security best practices and uphold compliance to protect sensitive health information
• Technical direction: Track new AI developments, turn the promising ones into production‑ready implementations, and help set the direction of our AI work

Benefits

• Flexibility in how you work: Work is not measured by hours or location. Work remotely, come to the office, or spend time working from abroad.
• Staying connected: We stay in touch through clear communication and the right tools. Work is transparent, and teams stay aligned without unnecessary overhead.
• Trust and space to focus: We trust people to manage their work and take breaks when needed. What matters is staying focused and moving things forward.
• Work from abroad: Spend time working abroad, up to 182 days per year. We support flexible setups beyond your usual location.
• Office space in Berlin: A central place in Berlin Mitte where people come together to meet and collaborate. Join whenever you feel like it.
• Learning & Development: Grow through regular feedback, clear development paths, and a dedicated learning budget.
• Your birthday, full off: Take an extra day off to celebrate yourself. No Slack, no calls, no work.
• Tools, hardware & AI: We equip you with a MacBook Pro, modern collaboration tools, and AI that is part of how you work every day.
• Monthly Edenred card: Enjoy a €50 monthly budget on your Edenred card, flexible to use online or in-store.
• Choose your own setup: Pick the tech and equipment you prefer. We support you with a dedicated budget.
• Time together: Regular opportunities to connect and spend time together, from team meetups to company‑wide events.
• A strong team around you: Work with people who take ownership, support each other, and enjoy working together.

Experience in environments where security and privacy are top priorities, such as PII redaction, LLM guardrails, and GDPR compliance.

A solution‑driven mindset: you analyze problems thoroughly and then drive them to resolution.

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‑speaking.

Not a perfect match on every point? We care more about shared drive and a real sense of mission than about ticking every box. If you want to dedicate yourself to meaningful work alongside a team that feels the same, we'd love to hear from you.

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.

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.

Solid deep learning experience applied to real‑world problems, with a focus on system‑level integration rather than model training alone.

Experience leading, mentoring, and supporting other engineers.

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 real users depended on. If your background is in productionizing traditional ML systems rather than LLMs, we still want to hear from you.

Experience shaping technical direction and making well‑reasoned recommendations to product and business stakeholders, especially where strategy is still evolving.

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.

Proficiency in Python and at least one web framework (FastAPI, Django, Flask, ...).