Senior AI Engineer

Maybe you call yourself an AI Engineer an LLM wrangler a does it actually work outside the demo specialist or maybe you just call yourself Alex. Whatever you call yourself: youll build and ship the AI that All Your BI puts in front of real clients and own it end to end. Not demos. Production systems that survive contact with real clients and when something breaks youre the one who fixes it.

• A salary between including holiday allowance based on your experience.

• 5000 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.

• Hybrid in the Netherlands: flexibility to work from home with office visits and occasional client meetings.

Benefits across the EU: the perks above are AYBIs and go to everyone everywhere. Statutory benefits (pension health social security leave sick pay notice) follow the hires country via their local contract or EOR.

All Your BI is a remote-first data agency based in Rotterdam. Since 2019 weve 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.

• Build and ship the AI behind our products and client solutions: LLM applications RAG over messy real-world data agents and tool-calling. You take these from demo-grade to production-grade.

• Own production end to end: when something breaks youre the one who fixes it. You implement evals observability and tracing and guardrails against hallucination and prompt injection so problems surface fast and get resolved faster.

• 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.

• Work within the architectural guidelines set by our Lead AI Engineer and flag early when something in that direction isnt holding up in practice.

• Translate AI capability into real client value and push back on anything thats AI for AIs sake.

• Attitude and execution:energy curiosity and a strong bias to fix things yourself. When something breaks in production you dig in and resolve it you dont wait for direction. You can be trusted to own a production system without close supervision.

• AI/ML engineering in production:youve 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.

• Client & business sense:you can tell AI that creates client value from AI thats just hype and explain which is which to a non-technical client in strong 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.

Were a growing team 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.