Lead AI Engineer

Maybe you call yourself an AI Engineer, GenAI Lead, LLM wrangler, Senior "but it worked in the demo" Debunker, Chief Hallucination Reducer… or maybe you just call yourself Dario. Whatever, you call yourself: you'll lead how All Your BI builds and ships AI. Not demos. Production systems that survive contact with real clients and keep running. The title? Yours to define. At AYBI, scope is shaped by impact, not org chart position. What you get A salary between €7,400–€9,200 /gross monthly, based on the role, your experience, and your local market. €5,000 a year for your own growth, with a real say in how you spend it. 25 vacation days + the option to buy up to 10 more + local public holidays + the option of a sabbatical up to 4 months. Two trips abroad a year with the whole team + occasional drinks and team outings. €500 home-office budget and a great laptop. A well-earned "Hey, well done Buddy!", so now and then. Fully remote, from anywhere in Europe, ideally within a couple of hours of CET, so the team overlaps. Benefits across the EU: the perks above are AYBI's and go to everyone, everywhere. Statutory benefits (pension, health, social security, leave, sick pay, notice) follow the hire's country via their local contract or EOR. About us All Your BI is a remote-first data agency based in Rotterdam. Since 2019 we've grown from a boutique consultancy into an international data team of more than 60 data heroes spread across Europe. We deliver managed BI services for logistics and industrial companies, helping reduce data waste and move businesses forward. We live for the WOW moment, that sparkle in users' eyes when they gain new insights and discover opportunities. We work according to Holacracy: little hierarchy, lots of ownership. Serious work. Serious fun. What the job looks like Set the technical direction for AYBI's AI and GenAI work, the architecture, the build-vs-buy calls, and the honest judgment of when AI is the wrong tool. Build and ship AI into our products and client solutions, LLM applications, RAG over messy real-world data, agents and tool-calling, and make them production-grade, not demo-grade. Own reliability: evals as the unit tests of our AI (eval suites in CI, golden datasets), observability and tracing on every call, and guardrails against hallucination and prompt injection. Keep AI affordable: track cost and latency per task, and use caching, routing, and the right model for the job rather than the biggest one. Lead the productization push the team is starting, turn one-off work into repeatable, observable, dependable products, with the testing and monitoring to match. Lift the engineers around you, through craft, clear direction, and the occasional workshop, and help the whole team adopt AI well. You lead through your roles and accountabilities, not a reporting line; we self-organise. Translate AI capability into real client value and push back on anything that's AI for AI's sake. Stay close to the frontier: read what's new, test what's promising, bring back what's worth it. What you bring Attitude: energy, curiosity. You bring positive energy to every call, and you'd rather ship something useful than polish something perfect. Experience: ~3–5 years in software engineering, building and shipping AI/ML or GenAI systems in production. AI/ML engineering, in production: you've built and shipped LLM/GenAI systems that real people use, RAG, agents, tool-calling, not notebooks and demos. Strong Python, and you know the modern AI stack (LLM APIs across providers like Anthropic / OpenAI / open models, vector databases, an orchestration framework) well enough to know where it breaks. Reliability & LLMOps: you make AI dependable, evals, observability and tracing, guardrails, prompt and version control, cost and latency budgets. Technical leadership: you set technical direction others buy into, make the architecture calls, and leave the engineers around you better than you found them, through influence and clarity, not authority. Client & business sense: you can tell AI that creates client value from AI that's just hype and explain which is which to a non-technical client. Self-management: you thrive without a manager. Distributed authority, owning your roles, raising and resolving tensions, reshaping your work as it changes, that reads as freedom to you, not chaos. Communication: strong in English. Nice to have: data or BI background or consultancy experience; cloud + deployment muscle (AWS / Azure / GCP, Docker, CI/CD); model distillation, structured outputs, and multimodal pipelines. We're 60+ data heroes across Europe, and we hire to widen that mix, not narrow it. What matters is what you can do and the perspective you bring, not your age, gender, ethnicity, orientation, disability, background, or where you studied. If the role excites you and you bring most of it, apply: the people who add the most rarely tick every box.