AI Engineer - Applied Science

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. Come make an impact at the early stage  and well-funded medical fintech!
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
At Nelly, we streamline practice management and eliminate paper chaos. Our digital solutions include patient check-in, real-time document handling, and efficient billing with digital invoices and factoring, all accessible via smartphones. Backed by top investors like Cathay, Notion, Lakestar, GFC, b2venture, and Motive Partners, we aim for rapid, sustainable growth.
Europe has over 1 million medical practices helping millions of patients daily. Small improvements in patient handling can significantly impact society. However, most practices still rely on paperwork and manual processes. We’re on a mission to change that!
We believe medical practitioners should focus on treating patients, not administrative tasks. Our solutions let practices concentrate on patient care, while digital documents and invoices are handled with no time. 

Joining us, you will

• Develop and implement scalable evaluation frameworks to assess the performance, accuracy, and effectiveness of agentic systems.
• Developing an effective  data collection and  annotation  strategy to ensure high-quality training  and model evaluation data.
• Design, build, and deploy agentic systems into production by leveraging cutting-edge AI advancements, including RAG, ReAct and Knowledge Graphs, to develop effective solutions.
• Embrace a fast-paced, agile environment where outcome and quick progress is achieved through experimentation and rapid iteration
• You will support user interviews, contribute to product planning, and collaborate with cross-functional teams to drive impactful projects.

What you'll bring

• At least 3 years experience in AI, machine learning, and data engineering.
• Experience with modern data workflow orchestration frameworks such as Dagster, Airflow, or Prefect, with emphasis on dependency-aware pipelines. 
• Strong applied ML fundamentals alongside theoretical experience
• Skilled in evaluating ML systems using metrics like Precision, Recall, F1, BLEU, ROUGE, and LLM as Judge.
• Deep experience in Python and relevant frameworks e.g. pandas, scipy, langraph, pytorch
• Experience with cloud native development, ideally AWS
• A self-motivated and creative problem-solver with a passion for pushing the boundaries of AI in healthcare and fintech.
• A proactive and independent work ethic, balanced with strong team collaboration skills

What we offer

• Competitive salary
• Top of the line working equipment
• Generous budget for learning and development activities
• Flexible working hours and hybrid work mode in Berlin
• 4 weeks workation possibility
• Cozy and dog friendly office in the city centre
• BVG Ticket or Swapfiets subscription
• Urban Sports membership

We are looking forward to receiving your application and welcoming you to the team.