EngineeringNetherlands, EindhovenFull-time

AI Application Engineer

About the role

This is not a research role and it is not model training. You build the layer that turns a language model into something a business can rely on: retrieval over a client's own documents, agents that finish a task, evaluations that prove it works, and explicit boundaries on what a model may assume. We focus on four models: Claude, OpenAI, Gemini and Mistral, and we keep testing which one fits a given task rather than assuming it.

The Eindhoven side of this role has a second half: you sit close to the client. You are in the room when a business problem is described, you judge whether AI is genuinely the right answer, and you say so when it is not. Then you build it together with the engineers in Jakarta. The seat exists because translating a business problem into a system that behaves predictably is the part nobody can outsource.

What you'll do

  • Translate a client's business problem into an AI solution design, including the honest answer that a simpler system would serve them better.
  • Build retrieval pipelines and agent workflows, and the evaluations that prove they work.
  • Define what a model may decide alone and what returns to a human, per task.
  • Work directly with the engineers in Jakarta: build together, review each other's work, share the standard.
  • Be the technical voice in client conversations about AI, including the sceptical ones.
  • Keep our own internal AI tooling sharp. We use it every day and we improve it in the open.

How we build

We care more about the foundation of a solution than about the speed of the first demo. That means data models and architecture that still hold up in three years. It also means governance, compliance and traceability are designed in from the start instead of bolted on afterwards. When we put agents to work, we record what they did and why, so a decision can always be reconstructed and a client can always be shown the trail. Anyone can get a prototype running. Building something a business can still rely on in two years is the actual job.

Concretely, and starting from the client rather than from us: what we build on depends on the stack they already run and on what will integrate cleanly with it. Where we are free to choose, the default is a TypeScript and Node.js application layer, with the Vercel AI SDK and direct provider APIs on top of Claude, OpenAI, Gemini and Mistral. Azure AI Foundry is what we build business and enterprise applications on, because that is where governance and stability have to be guaranteed rather than argued for afterwards. Python turns up wherever a data or evaluation job is better served by it, PostgreSQL with vector search sits behind retrieval, and React with TypeScript and Tailwind covers the front end. Automation that does not deserve a codebase runs on n8n. You will not have touched all of it, nobody here has, and part of the job is judging when our default is the wrong answer for a particular client.

How we work

You work in one team with our engineers in Jakarta, with fixed overlap hours so the working day is genuinely shared rather than handed over. That means your job is never to write a specification and throw it across a timezone: you build alongside them. Lines are short, with no account managers, no steering committees, and direct contact with the founders on the decisions that matter. Travelling to Jakarta to work with the team on site is a normal part of the role, not a reward. We hold ourselves to the same standard we sell: our own daily operations get improved alongside client work, and when something we built ourselves stops holding up we rebuild it rather than patch around it.

Bonus points

  • You have taken an AI-supported system to production and know where the naive version breaks. RAG counts, so does an automation that replaced real manual work, or an integration that had to keep running unattended.
  • Consultancy or agency experience. Comfort in front of a client.
  • Experience with the compliance conversations that come with putting a model near client data.
  • Affinity with Indonesian culture, or experience working with Asian teams.
  • You write or speak about applied AI.

Growth, and what we offer

Where we are right now, so you can judge what you are joining: the Jakarta hub is expanding, and our clients are in the Benelux and the wider EU. That is where the focus sits. Our Dutch engineers sit with the client and build the work together with the team in Jakarta, on the same day rather than across a handover, because what we are working towards is being the technology partner a client trusts with the things that matter rather than a supplier you send a specification to. Growing into the Indonesian market comes after that, and the first commercial seat in Jakarta is where it starts. You arrive while all of this is still taking shape.

  • A competitive salary matching your experience, reviewed every year.
  • Year one you learn our delivery model from the inside. Year two you shape it. The people who join now define how this company builds for the next five years.
  • We listen to our OneMinders. If you see a better way of working, you get the room to develop it and the backing to actually roll it out. Your opinion counts here, and this company is shaped by the people in it.
  • An annual learning budget for courses and certifications, tied to where you want to go.
  • Hybrid working with genuinely flexible hours, and hardware of your choice.
  • Direct access to the founders. Short lines, fast decisions, no bureaucracy.
  • Work that funds something: every project contributes to educational initiatives in Indonesia.
  • Regular travel to Jakarta to work with the team on site.

How we hire

You speak with the people you would actually work with, not a screening layer that passes you on. The process is the same in Eindhoven and in Jakarta, and from your application to an offer takes three to four weeks.

  1. 1

    The founders

    Why us, why you, and whether we mean the same thing.

  2. 2

    The Tech Lead

    The work itself: the substance of the role, and what you would actually be doing in it.

  3. 3

    A teammate

    Someone you would work with daily, not the person who would manage you.

Bring something you built to that second conversation and walk us through it. It is not an extra round and not a puzzle we invented: it is that conversation. A side project, something from work you are allowed to show, a repository you are proud of. If everything you have built sits behind an NDA, tell us and we will find another way.

Requirements

  • 5+ years of software engineering, of which at least one building on language models in a real product.
  • Strong TypeScript and Node.js, because that is where our AI application layer lives, with Python wherever a data or evaluation job is better served by it. The AI layer is never more reliable than the engineering underneath it.
  • Hands-on experience with RAG, agent frameworks, or both, beyond a tutorial project.
  • Excellent Dutch and English. You work with Dutch clients and an Indonesian team on the same day.
  • You can explain a technical trade-off to someone non-technical without making it vague.
  • You take initiative with clients: you propose the approach rather than waiting to be briefed.
  • You are amplified by AI and still accountable for what ships. Claude, Opencode and the rest of our AI tooling are part of the daily job here, and so is the other half of it: you read and review every line that goes out under your name, and you can defend it. Code nobody can explain does not pass review, whatever produced it.
  • You are curious beyond your own ticket. You think along on our client solutions and on how we run our own shop, and you say plainly where AI genuinely adds value and where a simpler integration or automation would do the job better.
  • Do not tick every box? Apply anyway if you bring real depth, projects you are proud of and knowledge you can demonstrate. That weighs more heavily with us than an exact number of years.
Posted 9 August 2026
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