Senior AI Engineer

DUDE CHEM; Berlin; Vor Ort; EUR 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

BVG ticket

Urban Sports Club

Hybrid setup

Workation (4 weeks)

Dog-friendly office

Snacks and drinks

Zusammenfassung

Nelly is building the AI-Driven Financial Operating System for European healthcare. We seek a Senior AI Engineer to join our Berlin office, leading backend AI systems, data pipelines, and GenAI initiatives in a small, agile team. You will drive architecture decisions and deliver production-ready solutions that scale.

You should have 8+ years in backend systems and 3+ years shipping GenAI features, with strong Python and cloud experience. Fluency in English is essential; German is a plus.

Qualifikationen

• 8+ years building and operating backend systems in production, strong Python skills.
• 3+ years shipping LLM/GenAI features to users.
• Deep ML fundamentals and experience with memory/self-evolving agents.
• Experience with cloud native development and distributed architectures.
• Excellent command of English; German is a plus.

Aufgaben

• Lead architecture decisions and mentor engineers in a fast-moving AI division.
• Build and deploy production-grade AI systems and data pipelines from prototypes to scalable services.
• Drive GenAI initiatives with a pragmatic product focus and strong reliability.

Kenntnisse

Technical leadership

Backend systems

LLM/GenAI features

Python

Distributed systems

Retrieval engineering

Cloud native

AWS

GCP

English communication

Dagster/Airflow/Prefect

Data pipelines

German (bonus)

Tools

TypeScript

Node.js

React

Python

FastAPI

Kubernetes

MongoDB

Azure

Kafka

NATS

Jobbeschreibung

We celebrate diversity and encourage individuals of all genders (m/f/d) to apply.

We’re on the lookout for an ambitious AI-Engineer to join our Engineering team at our office in Berlin. Join us in building the largest AI enabled fintech for healthcare!

What to expect in the role as Senior AI Engineer:

As part of our freshly launched AI division at Nelly, where you'll be one of the pioneers shaping our future in AI. In a small, agile team, you'll work on developing cutting‑edge AI systems and robust data pipelines—from rapid prototypes to scalable production solutions. This role is ideal for someone who combines deep ML theory with practical cloud and data engineering know‑how, and who can drive innovative GenAI initiatives while keeping a pragmatic product focus.

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.

What you'll bring

• Technical leadership mindset with high agency and proactive drive—obsessed with building world‑class systems and enabling teams to ship exceptional user experiences.

• 8+ years building and operating backend systems in production (strong Python skills required - ideal as well: TypeScript for integration work), with 3+ years shipping LLM/GenAI features to users (RAG, tool use, planning, agent frameworks e.g MCP, multi‑agent systems).

• Strong ML fundamentals with hands‑on experience in model evaluation, self‑evolving agents (e.g Memory).

• Deep expertise in distributed systems design: API architecture, data modeling, high‑throughput async systems, event‑driven architectures, caching strategies, and performance optimization.

• Advanced retrieval engineering experience: embeddings, sophisticated chunking strategies, hybrid search algorithms, schema/metadata design, knowledge graphs, comprehensive eval frameworks, and production monitoring.

• Proven track record of technical leadership: driving architecture decisions, mentoring engineers, and establishing engineering best practices.

• Experience with cloud native development at scale, ideally AWS, but GCP is a strong plus, too.

• Excellent communication skills in English with ability to articulate complex technical concepts to diverse audiences.

  Bonus skills:

• Experience with modern data workflow orchestration frameworks such as Dagster, Airflow, or Prefect, with emphasis on building robust, dependency‑aware pipelines at scale.

• Track record of technical writing, open‑source contributions, or speaking at industry events.

• Fluent German is a big plus, to improve the interaction between you and our user base.

Our tech stack :

• TypeScript, Node.js, React, Python, FastAPI, Kubernetes, MongoDB, Azure, Kafka, NATS.

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.