AI Engineer

Your responsibilities, 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. What we offer, 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.