We’re looking for a talented AI/ML Engineer to join our newly formed Assetization Team in Prague. This team transforms proven AI use cases into reusable, scalable assets that deliver measurable business value. By collaborating with technical experts and business stakeholders, we ensure these solutions are practical, secure, and ready for global deployment.
Your impact at NN
Design, build, and refactor advanced AI/ML solutions, including Generative AI, Agentic systems, Large Language Models (LLMs), and traditional machine learning models, into robust, reusable, and scalable assets. Ensure these solutions are production-ready, deliver measurable business value, and can be applied across diverse use cases and domains.
Key Responsibilities
Develop, refactor, and operationalize AI/ML models using Python and modern frameworks (TensorFlow, PyTorch, Keras).
Build and deploy LLM/GenAI-powered applications (e.g., RAG, agentic frameworks like LangChain, LangGraph).
Fine-tune, optimize, and monitor models for performance, reliability, and user experience.
Collaborate with Data Scientists, engineers, and business stakeholders to ensure solutions meet real-world needs.
Document solutions and contribute to internal knowledge bases and best practices.
Stay current with the latest AI/LLM advancements, tools, and industry trends.
What we expect from you
At least 3 years of experience in AI/ML 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 (LangChain, LangGraph), RAG, LLMOps/MLOps, and Databricks Mosaic AI.
Strong knowledge of cloud platforms (Azure preferred), CI/CD, and containerization (Docker, Kubernetes).
Familiarity with RESTful APIs, FastAPI, and integration patterns.
Analytical and creative problem-solving mindset, with ability to work independently and manage multiple priorities.
Strong communication and collaboration skills, with curiosity and drive for continuous learning and innovation.
Advanced English proficiency required for working 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.
In the first round, you’ll meet Petra and Marek, Principal AI Engineer. If the first interview goes well, we’ll send you a case study to complete within one week. After that, we’ll schedule the second round, a technical interview with Karel, AI and Automation Manager, and senior team members, where you’ll present your case study and discuss it together with the team.
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