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AI Engineer

• Hybrid
• • Amsterdam , Noord-Holland , Netherlands
  • • Utrecht , Utrecht , Netherlands
  •

  +1 more

• Development

Job details Apply

Job description

About BriqSafe

BriqSafe (today still operating as Legionella Dossier) is a fast-growing SaaS platform in the water-safety industry. We help organizations manage, automate, and prove compliance around water safety. We operate in the Netherlands and the UK. We are expanding into additional EU markets. Our product is undergoing a complete rebuild from the ground up. The old monolith is being replaced by a modern, scalable platform built around microservices, event-driven communication, strict domain boundaries, and a far more intelligent set of features.

AI is not a side project here. It is foundational. The rebuild leverages AI at every layer of the product. From automation and decision support to intelligent workflows, document generation, and domain-specific agents. You won't be "adding AI" to an existing system. You will be shaping a new platform that uses AI by default.

The Role

We are looking for an AI Engineer who can take charge of AI integration across the new BriqSafe platform. You must be able to move fast, learn faster, and navigate the AI ecosystem with confidence. You should understand LLMs in depth. Not at the level of "I know how to call an API". At the level of prompt engineering discipline, evaluation frameworks, retrieval techniques, model fine-tuning, vector search, observability, and the ability to build robust production-grade AI features.

You'll work directly with engineering leadership and development to turn AI concepts into real, scalable, user-facing functionality.

What you'll do

• Design and implement AI-driven features across the platform.

• Build and maintain pipelines for LLM usage, prompt orchestration, retrieval, and evaluation.

• Own vector search, embeddings workflows, fine-tuning strategies, and model selection.

• Work closely with backend teams to integrate AI into microservices and event-driven flows.

• Develop internal agents for QA, monitoring, and developer productivity.

• Experiment aggressively. Validate quickly. Kill bad ideas early.

• Ensure AI systems behave predictably, safely, and within compliance boundaries.

• Translate business problems into AI-powered solutions that actually work in production.

Job requirements

What you bring