AI / LLM Engineer (Python)

<p>One of our teams is looking for a new teammate. They are focusing on bringing AI into real products - not as a toy, but as something that actually solves problems.</p> <p>You’ll be working on practical use of LLMs and AI approaches in a product environment. That means experimenting, validating ideas, and helping teams understand what works and what doesn’t. You won’t be sitting in a research silo - you’ll be working directly with teams and helping turn ideas into something usable.</p> <p>If you’d like to work remotely, no problem. We’re used to hybrid collaboration based on team agreement.</p> <p><strong>WHAT WE OFFER:</strong></p> <ul> <li>Things to be fresh. We’re building new AI products just now - and you can be part of the journey from start to finish. You’ll work across a wide range of AI disciplines, from text processing through image analysis to process automation</li> <li>No coding monkeys. We experiment, question, and figure things out.</li> <li>Work that starts with an idea and ends in a real product.</li> <li>A manager-less structure. No hierarchy, everyone has a say.</li> <li>A team that decides. Hiring, promotions, direction - all in the team.</li> <li>No bulls**t KPIs.</li> <li>Learning and knowledge sharing is part of the job, not a side activity.</li> </ul> <p><strong>WHAT WE EXPECT FROM YOU:</strong></p> <ul> <li>Python</li> <li>Experience with at least one <strong>AI / ML-related project</strong> (school, personal, or work)</li> <li>Basic understanding of: <ul> <li>datasets</li> <li>statistics</li> <li>good practices in data/ML work</li> </ul> </li> <li>Interest in AI beyond just LLMs</li> <li>Ability to explain things and share knowledge with others</li> <li>Be open-minded</li> <li>Come up with improvements and realize them</li> <li>Share your knowledge with others</li> <li>Readiness to learn new things</li> </ul> <p><strong>NICE TO HAVE:</strong></p> <ul> <li>Experience with LLMs (RAG, agents, fine-tuning…)</li> <li>Experience with AI frameworks or tools</li> <li>Any exposure to production systems or cloud</li> </ul>