AI Engineer - English (CPH)
About Simply.TV
You probably use our data every day without knowing it. When you open a streaming app, browse a channel guide, or get a move/show recommendation – the metadata powering that experience likely comes from Simply.TV.
We provide content data to the world’s largest TV distributors, streaming platforms, and telecom operators. Billions of data points. 30+ markets across EU, US, APAC, and Latin America. ~EUR 20M ARR. 400+ people. PE-backed by Summit Partners.
The opportunity
We’re turning Simply.TV into one of Europe’s first end-to-end AI-native content data companies. Not adding an AI feature to the product – rethinking how the entire business operates.
We already have agents in production. What we need now is more people who can build intelligent systems that actually work.- Our data is content metadata – no PII, no sensitive records. We can train, experiment, and deploy without the regulatory overhead that slows most AI teams down.
- Full backing from our board and PE sponsor. This is the company’s strategic bet, with real budget behind it.
- Billions of structured, unstructured, and labeled data points.
Some of what we ship won’t work. That’s expected. The only way to fail here is to stop trying.
The role- person AI team led by our Head of AI. Flat. No middle management, no approval chains. You own what you build, and what you build goes to production.
- Build AI features and workflows that run in production
- Develop retrieval, evaluation, and agent systems
- Prototype fast, test with real data, iterate
- Translate messy, ambiguous problems into things that work
Requirements
You'll thrive in this role if you have:
- Production-grade Python.
- Significant experience with LLMs, embeddings, retrieval systems, or agent frameworks. You’ve built with these tools, not just read about them.
- Experience with real-world systems – data, APIs, storage.
How you think
We care about how you solve problems. AI moves too fast for credentials to be the main filter.- You start by building. When something is unclear, you write code and read docs to figure it out.
- You change your mind when the evidence changes. Ego stays out of technical decisions.
- Dead ends are part of the work. If that frustrates you, this isn’t the right fit.
- You challenge assumptions and propose things nobody else has tried.
- Reports to: Head of AI
- Employment Type: Employee
- Location: Copenhagen
- Type of Collaboration: Full-time