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.
You will play a key role in building AI-heavy product features and the technical foundation behind them.
This includes:
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Designing and building full stack applications using Node.js and Next.js
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Developing AI-native product experiences
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Implementing and managing self-hosted LLM infrastructure
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Experimenting with different open-source and commercial models
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Optimizing inference performance, scalability, and operational costs
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Evaluating which models perform best for specific use cases
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Building AI orchestration layers and intelligent workflows
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Creating systems that combine automation, context-awareness, and real-world operational data
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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.
We are looking for a senior engineer with strong product intuition and a deep curiosity for modern AI systems.
You should have:
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Strong experience with Node.js and modern TypeScript ecosystems
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Experience with Next.js and modern frontend architecture
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A full stack mindset and the ability to own features end-to-end
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Experience working with LLMs, embeddings, RAG pipelines, or AI agents
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Knowledge of self-hosted/open-source models such as Llama, Mistral, DeepSeek, Qwen, or similar
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Understanding of GPU workloads, inference optimization, and AI infrastructure tradeoffs
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Experience comparing model quality, latency, and operational cost
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A strong engineering mindset focused on scalability, maintainability, and performance
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The ability to move fast without creating chaos
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Curiosity and obsession with where software engineering is heading next
Bonus points if you:
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Have experience with Kubernetes or cloud-native infrastructure
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Have worked with vector databases and retrieval systems
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Have built AI copilots, autonomous workflows, or internal AI tooling
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Have experience fine-tuning or evaluating models
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Have opinions about when not to use AI
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You are the kind of engineer who:
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Experiments with new AI tooling before it becomes mainstream
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Thinks beyond tickets and sees platform opportunities
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Questions old assumptions and outdated architectures
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Likes solving hard technical problems
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Understands the balance between innovation and pragmatism
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Wants to help shape the direction of a rapidly scaling platform
You probably spend time reading about:-
Open-source LLM ecosystems
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AI infrastructure
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Agentic workflows
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Retrieval systems
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Inference optimization
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AI developer tooling
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Emerging platform architectures
And you probably already have side projects involving AI.
- The opportunity to build AI-first systems from the ground up
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Real ownership and influence on technical direction
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A rapidly growing international SaaS platform
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Complex technical challenges with real-world impact
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Freedom to experiment and innovate
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A strong engineering culture focused on building scalable systems
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The chance to help define the next evolution of BriqSafe
We are moving fast.
The platform is expanding internationally, new verticals are being launched, and AI is becoming a foundational part of how we build products and operate internally.
If that excites you, we should talk.
