Hello
AI /ML Engineer
Hello
AI /ML Engineer
Who we are?
We're Awesome Compliance Technology (ACT), and we're on a mission to make compliance work awesome. Our collaborative AI platform built around GDPR, the EU AI Act, and the EU Data Act gives privacy and AI compliance professionals the leverage they've always needed. We're not replacing 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.
Why this role matters
AI isn't just a feature, it's 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.
What you’ll do
Build and improve our agentic layer 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.
What we’re looking for
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.
Bonus points if:
You’ve built AI assistants and agentic systems.
You’ve touched explainability / evaluation tooling.
You’ve dealt with data privacy constraints in ML before.
What we offer
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.”
Interested?
Excited by what you’ve read? We’d love to hear from you!
Reach out to roel.wessels@awesomecompliance.com
Who we are?
We’re Awesome Compliance Technology (ACT), the world’s first AI-powered hybrid legal & compliance firm. Our SaaS platform (plus human experts) makes the messy stuff like reviewing contracts, GDPR, ISO27001, EU AI Act compliance actually manageable.
Our customers are scale-ups and tech companies that want to innovate fast and stay compliant, without drowning in paperwork.
Why this role matters
AI isn’t just a feature, it’s the core of our product. You’ll help build compliance agents that can actually reason: answering legal questions, drafting contracts, filling registers, running risk assessments. You will make so many customers happy with the huge amount of time you are saving in their lives.
What you’ll do
Build and improve agent pipelines (using Pydantic-AI / LangChain / custom frameworks).
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.
What we’re looking for
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.
Bonus points if:
You’ve worked with agentic systems and vector databases.
You’ve touched explainability / evaluation tooling.
You’ve dealt with data privacy constraints in ML before.
What we offer
Early team role → real ownership, not 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 several days at the office in Amsterdam, The Netherlands.
The chance to say: “I made compliance awesome.”