Descripción
TL;DR→ You design and build production-grade RAG and agentic AI systems end-to-end. From use-case definition through to a working interface in users' hands.→ Consulting across the Nordics, with clients spanning industries from financial services to manufacturing.→ You work in cross-functional delivery teams alongside Data Engineers and Platform Engineers, each owning a distinct layer of the stack.→ Certifications without a debate. Colleagues who are obsessed with the craft. Freedom to grow your way. What you'll doAs a GenAI Developer, you own the AI application layer end-to-end: the systems that ingest, retrieve, reason, and respond, plus the lightweight interfaces that put them in front of users. You're the person closest to the end customer. You turn a business problem into a working use-case, from gathering requirements and aligning stakeholders to shipping a production system people actually use.You come in before the solution is defined. Together with the client, you shape what gets built, then you build it. You work alongside Data Engineers and Platform Engineers, each owning a distinct layer of the stack. Your layer is where the model meets the business problem, and where the user meets the product.A few examples of what this looks like in practice: A production RAG system for a financial services client, letting internal teams navigate regulatory documentation using generative AI. From ingestion through to answer generation, quality evaluation, and a lightweight front-end for day-to-day use. An agentic AI solution in the FinOps space, applying LLM reasoning over infrastructure data to drive cloud cost optimization beyond what rule-based tooling can handle. AI capability building at enterprise clients: use-case workshops, requirements definition, and architecture advisory on agents and coding tools for senior technical audiences.The bar for what "done" means here is high: production-grade, observable, secure and used.What you getAssignments that accelerate yo