Senior Full Stack Engineer (AI & Platform Innovation)

[Node.js](http://Node.js)/[Next.js](http://Next.js)**/ Self-Hosted LLMs / AI Systems

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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.

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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

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