Senior AI Engineer

Reposted Yesterday
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Prague, CZE
In-Office
Senior level
Fintech • Payments • Financial Services
The Role
Design, build, and deploy AI and GenAI/LLM solutions (including RAG and agentic systems) into production. Own full ML lifecycle: data preparation, model development, deployment, monitoring, and optimization for scalability, performance, cost, and user experience. Work in agile teams to scale solutions across countries and integrate with cloud and API services.
Summary Generated by Built In

We are looking for a Senior AI Engineer to join our team in Czechia! Do you want to help scale AI solutions across NN and deliver real business impact? Then this could be the role for you.

Our mission at NN

Together with your colleagues, you will build and scale AI-powered solutions that improve business processes across multiple NN business units in Europe. This includes supporting underwriters with automated document checks, enabling end-to-end claims automation, and developing chatbot solutions.

You will work in agile teams to design, build, test, and run AI-driven applications, while contributing to solution design and making smart engineering trade-offs. A strong focus will be on scaling solutions across countries to maximize impact.

Your responsibilities

  • Design, build, and bring AI solutions into production, from traditional ML models to modern GenAI/LLM applications.

  • Develop, refactor, and operationalize machine learning models using Python and frameworks such as TensorFlow, PyTorch, or similar.

  • Build and deploy LLM-powered applications (e.g. RAG pipelines, AI agents, Copilot-like solutions) using modern tooling (LangChain, LangGraph, etc.).

  • Own the full lifecycle of AI solutions, from data preparation and model development to deployment, monitoring, and continuous improvement.

  • Optimize models and systems for performance, scalability, cost efficiency, and user experience.

What we expect from you

  • At least 5 years of experience in ML/AI engineering, including hands-on work with LLMs, GenAI, and traditional ML.

  • Proficiency in Python and ML/AI frameworks (TensorFlow, PyTorch, Keras), with experience in agentic AI, RAG, and MLOps/LLMOps practices (e.g. LangChain, LangGraph, Databricks Mosaic AI).

  • Strong knowledge of cloud platforms (Azure preferred), CI/CD, and containerization (Docker, Kubernetes).

  • Familiarity with RESTful APIs, FastAPI, and integration patterns.

  • Advanced English proficiency is required to work in an international environment.

Not flawless, but we´ve got this for you

  • To a large extent, we give you the flexibility to work where you feel most comfortable, whether in the office or from home. On top of that, we also contribute to your home office expenses every month.

  • ​We value work-life balance, which is why we offer flexi vacation with unlimited days off. This gives you the freedom to take time off as needed, ensuring flexibility and well-being for both personal and family needs.

  • On top of your base salary, you’ll enjoy an annual bonus and regular salary reviews, a monthly meal allowance, CZK 20,000 per year in the Cafeteria, the option to use a MultiSport card, and a contribution to supplementary pension savings.

  • We believe that your professional and personal growth is crucial, which is why we provide you with a tailor-made professional training system.

  • Your friends and acquaintances are a valuable source of talent for us, which is why we offer up to CZK 60,000 as a reward for recommending a suitable candidate.

  • A business laptop and an iPhone with a paid O2 tariff and data package are essential tools for your work, which we will provide.

 

What is the hiring process with us like

Once we receive your application, including your CV in English with your contact details (phone number and email address), Petra, our Talent Acquisition Partner, will review it carefully.

If your profile matches the role, Petra will reach out for a brief phone conversation to share more about the position and learn about your experience and expectations. If the role isn’t the right fit, we’ll still provide feedback.

The selection process usually includes two interview rounds, most often held online, as well as a case study. If an inperson meeting is needed, we’ll let you know in advance.

Skills Required

  • At least 5 years of experience in ML/AI engineering, including hands-on work with LLMs, GenAI, and traditional ML.
  • Proficiency in Python.
  • Proficiency with ML/AI frameworks: TensorFlow, PyTorch, Keras.
  • Experience with agentic AI, RAG, and MLOps/LLMOps practices (e.g., LangChain, LangGraph, Databricks Mosaic AI).
  • Strong knowledge of cloud platforms (Azure preferred).
  • Experience with CI/CD and containerization (Docker, Kubernetes).
  • Familiarity with RESTful APIs, FastAPI, and integration patterns.
  • Advanced English proficiency for international collaboration.
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The Company
HQ: The Hague
21,409 Employees

What We Do

NN Group is an international financial services company, active in 11 countries, with a strong presence in a number of European countries and Japan. Our roots lie in the Netherlands, with a rich history of more than 175 years. With our 16,000 employees, NN Group provides retirement services, pensions, insurance, banking and investments to approximately 19 million customers. NN Group includes Nationale-Nederlanden, NN, ABN AMRO Insurance, Movir, AZL, BeFrank, OHRA and Woonnu. NN Group opened for trading on 2 July 2014 on Euronext Amsterdam under the symbol ‘NN’ after its initial public offering (IPO). For more than 175 years, our company has merged, grown and changed, but the core of who we are has remained the same. At NN Group, we put our resources, expertise, and networks to use for the well-being of our customers, the advancement of our communities, the preservation of our planet, and for the promotion of a stable, inclusive, and sustainable economy. Our purpose is to help people care for what matters most to them. Because what matters to them matters to us.

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