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(Senior) AI Engineer

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
  • Design and implement modern data-pipelines, orchestrating data-assets for our AI-solutions - from experimental prototypes to production-ready platforms.
  • Design, build, and deploy agentic systems into production by leveraging cutting-edge AI advancements, including RAG, ReAct and Knowledge Graphs, to develop effective solutions.
  • Evaluate, select, and integrate AI tools, frameworks, and platforms to ensure scalability, efficiency, and compliance.
  • 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 5 years as a software engineer, with 2+ years 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. 
  • Experience with cloud native development, ideally AWS.
  • Deep experience in Python and relevant frameworks such as pandas.
  • Strong applied ML fundamentals alongside theoretical experience.
  • 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.

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What You Should Know About (Senior) AI Engineer, Nelly Solutions

Join Nelly as a (Senior) AI Engineer in the vibrant city of Berlin and play an integral role in shaping the future of medical fintech! We celebrate diversity and encourage all individuals, regardless of gender, to apply. In our newly established AI division, you’ll collaborate with a dynamic team of pioneers dedicated to developing cutting-edge AI systems and robust data pipelines. Your work will range from crafting rapid prototypes to building scalable production solutions, making a significant impact from day one. We’re seeking an ambitious AI Engineer who combines profound ML theory with practical cloud and data engineering expertise to drive innovative Generative AI initiatives with a focus on delivering real-world products. Here at Nelly, we streamline practice management for medical professionals by eliminating paper chaos through our digital solutions, which enhance patient care and administrative efficiency. With the backing of top investors and a clear mission to improve healthcare through technology, your contribution will help reconstruct the way medical practices operate. Join us to design and implement modern data pipelines, evaluate AI tools for scalability and compliance, and collaborate across teams to drive impactful projects. If you have at least five years of software engineering experience, including two years specializing in AI and machine learning, and you’re excited about transforming healthcare, we want you on our team! Enjoy a competitive salary, flexible working hours, generous learning opportunities, and a cozy office environment in the heart of Berlin. Let’s innovate together and help medical practitioners focus on what they do best: caring for patients.

Frequently Asked Questions (FAQs) for (Senior) AI Engineer Role at Nelly Solutions
What are the main responsibilities of a (Senior) AI Engineer at Nelly in Berlin?

As a (Senior) AI Engineer at Nelly in Berlin, you will design and implement modern data pipelines, orchestrate data assets for AI solutions, and build agentic systems using cutting-edge AI advancements. Your role will involve evaluating and integrating AI tools to ensure scalability and compliance, while collaborating with cross-functional teams on impactful projects.

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What qualifications do I need to apply for the (Senior) AI Engineer position at Nelly?

To apply for the (Senior) AI Engineer position at Nelly, you should have at least five years of experience as a software engineer, with a minimum of two years focused on AI, machine learning, and data engineering. Proficiency in Python, modern data workflow orchestration frameworks, and cloud-native development, particularly with AWS, is essential.

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How does Nelly support professional growth for (Senior) AI Engineers?

Nelly is committed to the professional growth of its employees, offering a generous budget for learning and development activities. As a (Senior) AI Engineer, you will have the opportunity to engage in continuous learning initiatives and stay updated with the latest AI technologies and methodologies.

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What type of work environment can a (Senior) AI Engineer expect at Nelly?

At Nelly, a (Senior) AI Engineer can expect a fast-paced, agile work environment that encourages experimentation and rapid iteration. The company fosters a collaborative culture where team members work closely together, enjoying a cozy, dog-friendly office in Berlin's city center.

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What are some key goals for the AI division at Nelly?

The AI division at Nelly aims to develop effective AI solutions that streamline practice management in the healthcare sector. Key goals include innovating Generative AI initiatives, improving data handling processes, and enhancing the administrative efficiency of medical practices to allow professionals to focus on patient care.

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Common Interview Questions for (Senior) AI Engineer
Can you explain a challenging AI project you've worked on?

When answering this question, choose a specific project where you faced significant challenges. Describe the problem, your approach to solving it, the technologies used, and the results. Highlight your role and contributions, showcasing your technical expertise and problem-solving skills.

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How do you keep up with advancements in AI and machine learning?

Discuss your commitment to continuous learning. Mention specific resources you rely on, such as research papers, online courses, webinars, or AI conferences. Highlight your proactive approach to integrating new technologies and theories into your work, emphasizing how this benefits your current or previous projects.

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What is your experience with cloud-native development?

Detail your experience with cloud platforms, particularly AWS. Explain specific projects where you utilized cloud-native tools and services, focusing on how they helped you achieve scalability and efficiency. Discuss any challenges faced and how you addressed them to enhance performance.

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Describe your approach to designing data pipelines.

When discussing your approach, elaborate on the steps involved—from understanding requirements and data sources to selecting appropriate tools and frameworks like Airflow or Prefect. Discuss the importance of dependency management and monitoring in ensuring the reliability of the pipelines.

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How do you collaborate with cross-functional teams on AI projects?

Share examples of how you engage with diverse teams, including product management and user experience. Discuss your communication strategies, the importance of user interviews, and how you align technical efforts with user needs and project goals for successful outcomes.

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What programming languages and frameworks are you proficient in?

Mention your proficiency in programming languages relevant to the role, such as Python, and frameworks you have utilized, like TensorFlow or PyTorch. Provide examples of projects where these skills were essential, demonstrating your practical experience in applying them effectively.

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How do you ensure compliance and scalability in your AI solutions?

Discuss your strategies for evaluating and integrating AI tools that adhere to industry standards. Explain how you assess tools not only for functionality but also their ability to scale efficiently while maintaining compliance with regulations relevant to healthcare and fintech sectors.

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What motivates you to work in AI, especially in healthcare?

Express your passion for AI and its potential impact on healthcare. Share any personal experiences or insights that drive your commitment to improving patient care through technology. Highlight how meaningful this work is to you and your desire to contribute to innovative solutions.

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Can you provide an example of how you've pushed the boundaries of AI in your past work?

Choose a relevant project that showcases your innovative thinking. Discuss the unique methods or technologies you applied, the challenges faced, and the resulting impact. Highlight your ability to think creatively and drive advancements in AI applications.

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What are your thoughts on the future of AI in fintech?

Share your insights on the evolving role of AI in fintech, including potential disruptions and innovations that could enhance financial services. Include thoughts on automation, data analytics, and personalized customer experiences, linking these to your expertise and vision for the future.

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