Senior AI Engineer
NN Group is hiring a Senior AI Engineer in Prague, Czechia. Level rates it ; you can apply on NN Group.
Level's read on this job
- Level rates this AI engineer role Builds AI ●●●●: the job is building AI systems.
- Tools and skills the posting cites include Copilot, LangChain and LangGraph.
- Level classifies it as a senior role.
- Level lists 170 other open roles at NN Group.
AI in this role
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.
How we rate this
Senior AI Engineer at NN Group rates 96 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in AI engineer jobs at this level
Pay
- Typical AI engineer job
- $184k
This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How do you monitor a model once it's live, and how do you know it needs retraining?
- What's a project where you used Copilot hands-on?
- Walk me through how you've used LangChain in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: RAG, AI agents, ML Ops, Copilot, and LangChain. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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