Job Description

Node.jsNext.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

Requirements

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.

What we offer:

• The opportunity to build AI-first systems from the ground up

• Real ownership and influence on technical direction

• A rapidly growing international SaaS platform

• Complex technical challenges with real-world impact

• Freedom to experiment and innovate

• A strong engineering culture focused on building scalable systems

• 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.