AI​/ML Engineer

We're Awesome Compliance Technology (ACT), and we're on a mission to make compliance work awesome. We're building the platform that defines how compliance gets done. Compliance is a critical function in any organization, and yet the tools professionals use every day are years behind. We're changing that and giving compliance professionals the leverage they've always needed. We're not replacing their expertise;

we're amplifying it. Our customers are experts: lawyers, consultants, and in-house compliance teams who want to think sharper, move faster, and deliver more value without drowning in repetitive work. This is a rare chance to work on a hard problem that matters, with a team that moves fast and takes quality seriously. If that's what you're looking for, read on.

AI is the core of our product. You'll help build the intelligence behind Coco AI: the assistant that helps compliance professionals interpret regulations, run assessments, maintain registers, and collaborate with clients, all in one place. You'll save give our users superpowers - and save enormous amounts of time, to work on things that truly matter.

• Build and improve our agentic laye
  r to do a growing range of tasks, reliably and effortlessly.
• Work on retrieval-augmented generation (RAG) pipelines with vector DBs.
• Tackle real-world AI challenges
  : hallucinations, bias, explainability, privacy.
• Collaborate with compliance experts to turn rules and regulations into AI-usable knowledge graphs & tasks
  .
• Prototype fast, test with users, and scale what works.

• Strong in Python + ML/AI frameworks
  .
• You’ve shipped something with LLMs (OpenAI, Anthropic, local models, doesn’t matter, you’ve been in the trenches).
• Comfortable with data pipelines, embeddings, retrieval, and evaluation
  .
• You’re pragmatic: you know when to hack with APIs and when to build something custom.
• Curious about legal & compliance, you don’t need to be a lawyer, but you care about automating complex legal decision-making.
• You’ve built AI assistants and
  agentic systems
  .
• You’ve touched explainability / evaluation tooling.
• You’ve dealt with data privacy constraints in ML before.

• Early team role
  , so real ownership, you'll not be in a ticket factory.
• Competitive salary + equity (we’re serious about sharing upside).
• A culture of shipping, learning, and having each other’s back.
• Working hybrid, with 3 days at the office in Amsterdam, The Netherlands.
• The chance to say: “I made compliance awesome.”