We celebrate diversity and encourage individuals of all genders (m/f/d) to apply.
We’re on the lookout for an ambitious Staff AI Engineer to join our Engineering team at our office in Berlin. Join us in building AI products for medical practices - tackling manual processes, bureaucracy, & administrative overload so doctors and staff can focus on patient care instead of paperwork. As a Staff AI Engineer, you will play a critical role in shaping Nelly’s engineering strategy and architecture for our AI products.
About Nelly
We are building the AI-Driven Financial Operating System for European healthcare, solving the biggest challenges for patients and practices. We create what no bank or software platform can handle. Our all-in-one platform transforms chaotic administrative processes into intelligent, automated workflows, from patient care to billing to next-generation payments. Because we truly believe: healthcare should be less about paperwork and more about people.
Why? Because Europe is facing a massive shortage of medical professionals. And if we don't rethink the way practices work, the system won't be able to keep up. With our Series B funding of over €50 million from world-class investors, we are turning our vision into reality.
What to expect: We work with the best team, which is why we give everything together every day. We believe in Talent Density, because exceptional people make everyone around them better. At Nelly, we move fast and expect everyone to keep up. Stagnation isn’t an option, which is why we invest heavily in growth. AI isn't a nice-to-have at Nelly. We expect you to use it every day and give you everything you need to do so. You get trust and ownership and we expect you to speak up, even when it's uncomfortable.
Joining us, you will
Embrace a fast-paced, agile environment where outcome and quick progress is achieved through experimentation and rapid iteration.
Define and drive AI strategy across multiple teams and engineering-wide initiatives.
Architect and lead the development of backend-first agentic products
Drive technical discovery, exploring and evaluating emerging AI technologies, building POCs for new products and ideas and turning them into real products
Lead cultural changes and set the standard for engineering impact, speed, and quality
Remain hands-on - whether writing foundational code, leading design reviews, or refactoring key systems
Define and champion engineering excellence
Mentor engineers - both AI engineers and other developers interested building AI products.
be a trusted advisor to leadership.
What you will bring
A technical leader (typically 8+ years of experience) with a track record of multi-team or org-level impact
An impact focused mindset
Experienced in enterprise-scale systems and multi-team architecture leadership
Technical leadership mindset with high agency and an impact focus who can provide strategic vision and dive deep into the technical details
Experience designing, building, scaling, and maintaining backend systems in production
Experience exploring, evaluating, and experimenting on, AI/ML based products in production
Experience with the challenge of building GenAI based products, such as creating guardrails and online evaluation to create a reliable ,secure, and safe system.
Strong AI/ML fundamentals with hands-on experience in model evaluation, AB testing, and monitoring stochastic systems
Excellent communication skills in English with ability to articulate complex technical concepts to diverse audiences.
What we offer
BVG ticket or Swapfiets membership, so you get around the city fast
Urban Sports Club membership, for sport and balance
Flexible working hours and a hybrid setup
Up to 4 weeks of workation
A dog-friendly office with great vibes and a team that's fun to work with
Snacks and a fridge full of cold drinks
We celebrate diversity and welcome individuals of all genders (m/f/d) to apply — and because we know confidence gaps and impostor syndrome can get in the way, please don’t hesitate even if you don’t meet every single criterion; if you’re exceptional, tell us why, and we’d genuinely love to hear from you.
