AI Engineer, LegionellaDossier
More information about location
Digital water safety solution
Open for applications
Digital water safety solution
21-100 employees
Open for applications
More information about location
21-100 employees
Company mission
LegionellaDossier's mission is to become the global market leader in this field in the next 5 years.
Role
Who you are
- 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
- Deep understanding of large language models, their strengths, limitations, and failure modes
- Experience with OpenAI, Anthropic, Azure OpenAI, or comparable tooling
- Strong knowledge of vector databases, RAG architectures, and evaluation frameworks
- Ability to build production-ready AI features end-to-end, not just prototypes
- Experience integrating AI within microservices. Node.js knowledge is a big plus
- A mindset focused on reliability, correctness, and measurable impact
- Fast learner with a bias toward action and ownership
- Comfort with ambiguity. We are rebuilding everything. You will shape the direction
- If you want to work on a greenfield rebuild. If you want to push AI into real production systems. If you want responsibility, ownership, and a role where your decisions influence the future of the product. Then this is the place
What the job involves
- 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
- We are looking for an AI Engineer who can take charge of AI integration across the new BriqSafe platform
- You’ll work directly with engineering leadership and development to turn AI concepts into real, scalable, user-facing functionality
- 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
- You will build AI functionality into a platform being redesigned from scratch
- You will influence the architecture and capabilities of an entire product ecosystem
- You will work in a company that is serious about AI. No endless debating but real adoption
- You will be part of a growth phase as we expand into additional EU countries
Our take
Priority institutions such as recreation centres, hospitals, hotels, prisons, swimming pools and healthcare facilities are obliged to protect their tap water installations against legionella contamination. The safety practice at the moment involves an unnecessarily long process - it can take up to half a day a week.
Legionella Dossier have come up with an innovative, pragmatic solution to replace this. The company's products include a management tool consisting of an app that explains, guides, plans and records all procedures, a Bluetooth temperature sensor linked to the app, and a subscription to an online environment that contains all management measures from the app records.
The time-saving of this management tool is enormous. With this package, priority institutions can meet their prevention obligations and save a lot of time compared to traditional methods of inspection and registration.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (1 round)
Oct 2022
$4.7m
EARLY VC
Total funding: $4.7m
Company benefits
- 24 Vacation days
- Flexible work hours
- A unique culture of Freedom & Responsibility
- A laptop of your choosing
Company HQ
Bedrijvengebied Kanaleneiland, Utrecht, UT
Leadership
Gert Oussoren
(Managing Director)Background in programming and automation at Morelight and Schreuder-Ruiteenbeek Installatiebeheer in the Netherlands
Salary benchmarks
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