AI Engineer

Nasze wymagania: Production experience: You have built AI systems that work in real environments — not just proofs of concept. Python proficiency: Strong Python skills for analytical problem-solving, building services, and cloud deployment. GenAI & LLM ecosystem: Hands-on experience with LLMs, RAG, agentic architectures, and prompt engineering in a business context. Data & ML skills: Comfortable with the standard data stack (pandas, numpy) and ML frameworks. Computer vision experience is a plus. Business mindset: You understand that technology serves a purpose. You navigate ambiguity, move fast, and focus on value. Communication: English at a B2-C1 level — our projects are often international. You need to live in Poland and/or be eligible to work here. Mile widziane: Java, React, MS SQL, Azure AI Services, MS Office integrations. O projekcie: What you work on today shapes where you’ll be tomorrow. AI engineering is one of the fastest-growing areas in our project portfolio. We are building relationships with talented people now — so that when the right project comes, we are ready to move together. We are part of an international organization listed on Nasdaq Stockholm, operating in 11 countries. In Poland, we work with full autonomy. We deliver IT and AI projects in Poland and internationally — from enterprise GenAI platforms and intelligent assistants, to machine learning, computer vision, and supply chain automation. Our project portfolio in AI is growing, and so is the demand from our clients. We want to be ready. Our collaboration is built around the CARE philosophy. For us, it means responsible project matching, transparent cooperation, and a long-term approach to professional growth. If AI engineering is your main area and you are open to hearing about new opportunities — let's connect. Zakres obowiązków: Depending on the project, our AI Engineers get involved in: GenAI backends & agentic systems: Building production-ready AI backends, RAG pipelines, and agentic workflows that automate real business processes. LLM integration & optimisation: Working with embeddings, reranking, and prompt engineering. Measuring quality, latency, and cost impact of model changes. Business process automation: Translating complex business problems into AI-driven workflows — orchestrating computations, summarising data, delivering recommendations through conversational interfaces. ML & data solutions: Predictive pipelines, classifiers, computer vision systems — tailored to client needs. DevOps for AI: CI/CD, monitoring, observability, backups — keeping production AI systems healthy. Client collaboration: Working closely with business stakeholders to understand problems and deliver value iteratively. International teamwork: Distributed, cross-functional teams across Europe, in Agile/Scrum environments. Oferujemy: Scandinavian work culture — transparency, logic, work-life balance. Diverse projects: from startups to global enterprise environments. Real ownership and influence over technical decisions. Health and sports benefits tailored to your needs. Speed Coaching – short sessions that provide new perspectives and solutions. Sports training, an internal team, and opportunities to take part in competitions. Team events and development-focused meetups.