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Location
In office (Prague)
Seniority
Senior · 5+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Nationale-Nederlanden Poland is a leading financial institution that provides a comprehensive range of insurance, pension, and investment products. As part of a major international group, the company helps individuals and businesses secure their financial futures through tailored life, health, and property insurance solutions. Driven by a focus on digital innovation and customer care, it supports clients in managing risks and planning long-term financial stability.

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 in-person meeting is needed, we’ll let you know in advance.

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