Job Opportunities API

Node.js / Next.js / Self-Hosted LLMs / AI Systems BriqSafe (currently operating as LegionellaDossier) is the Netherlands' leading SaaS platform for water safety compliance. Since our founding in 2015, we've grown to a team of 30+ professionals in Utrecht, helping organizations across the Netherlands and the UK manage, automate, and prove compliance around water safety. We're now expanding into Spain and beyond, with a clear ambition: become the global market leader within the next five years. Our platform is undergoing a complete transformation, replacing our legacy system with a modern, scalable architecture built on microservices, event-driven communication, and a far more intelligent feature set. We are not looking for someone who simply integrates APIs or ships CRUD features. We are looking for an engineer who thinks AI-first by default. Someone who understands that modern software development is shifting from traditional applications toward intelligent systems, autonomous workflows, AI-assisted operations, and model-driven product experiences. Someone who gets excited about building the infrastructure and product capabilities that will define the next generation of SaaS. The Role You will play a key role in building AI-heavy product features and the technical foundation behind them. This includes: Designing and building full stack applications using Node.js and Next.js Developing AI-native product experiences Implementing and managing self-hosted LLM infrastructure Experimenting with different open-source and commercial models Optimizing inference performance, scalability, and operational costs Evaluating which models perform best for specific use cases Building AI orchestration layers and intelligent workflows Creating systems that combine automation, context-awareness, and real-world operational data Working closely with product and engineering leadership on long-term platform strategy This is not a “bolt AI onto an existing app” role. AI will become part of the core platform architecture. What you’ll do We are looking for a senior engineer with strong product intuition and a deep curiosity for modern AI systems. You should have: Strong experience with Node.js and modern TypeScript ecosystems Experience with Next.js and modern frontend architecture A full stack mindset and the ability to own features end-to-end Experience working with LLMs, embeddings, RAG pipelines, or AI agents Knowledge of self-hosted/open-source models such as Llama, Mistral, DeepSeek, Qwen, or similar Understanding of GPU workloads, inference optimization, and AI infrastructure tradeoffs Experience comparing model quality, latency, and operational cost A strong engineering mindset focused on scalability, maintainability, and performance The ability to move fast without creating chaos Curiosity and obsession with where software engineering is heading next Bonus points if you: Have experience with Kubernetes or cloud-native infrastructure Have worked with vector databases and retrieval systems Have built AI copilots, autonomous workflows, or internal AI tooling Have experience fine-tuning or evaluating models Have opinions about when not to use AI What you bring You are the kind of engineer who: Experiments with new AI tooling before it becomes mainstream Thinks beyond tickets and sees platform opportunities Questions old assumptions and outdated architectures Likes solving hard technical problems Understands the balance between innovation and pragmatism Wants to help shape the direction of a rapidly scaling platform You probably spend time reading about: Open-source LLM ecosystems AI infrastructure Agentic workflows Retrieval systems Inference optimization AI developer tooling Emerging platform architectures And you probably already have side projects involving AI.