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Complir is seeking a senior fullstack engineer to build AI-driven product compliance workflows. You’ll work on pipelines that operate at the core of the platform, integrating LLMs with retrieval, embeddings, and multi-model orchestration.
You’ll sit with the founders and AI teammates at our Copenhagen HQ and ship features quickly in a fast-paced environment. You should be a senior engineer with production fullstack experience, fluent in TypeScript and Next.js, and eager to own features end to
Complir is the AI platform for the product compliance lifecycle, built for retailers, brands, and manufacturers selling physical consumer products across multiple markets.
We believe getting a physical product to market shouldn't mean fighting spreadsheets, PDFs, and supplier emails just to prove it's safe and legal to sell. Product compliance should be continuous, automatic, and understandable, not a bottleneck that slows launches down. We're building the AI infrastructure that makes that possible.
We work with many of the world's largest retailers and brands across fashion, furniture, cosmetics, toys, electronics and many other product categories. We're backed by Y Combinator, and a roster of investors who see what we see: Product compliance is the next major infrastructure category, and we're leading it.
We're looking for a senior fullstack engineer who wants to build with LLMs for real: not a chatbot bolted onto a SaaS product, but AI doing the actual work at the core of the platform.
Product compliance is not a topic that makes people lean in at dinner parties. But every product you've ever bought, from a kid's toy dinosaur to your electric toothbrush, had to clear a wall of regulation before it reached you. Most companies manage that wall with spreadsheets, inbox archaeology, and very tired quality and compliance managers.
That wall happens to be a near-perfect problem for LLMs. Dense regulation, messy supplier documents, product data scattered across a dozen systems, and questions that need grounded, defensible answers: "Which regulations apply to this product? What's missing? Can I sell it?" We're building the system that answers those questions automatically, for our customers that ship thousands of new products a month. You'll be one of the people building it.
Most "AI features" in B2B software are a text box that calls an API. Ours is the product: Pipelines that classify products against global regulatory frameworks, retrieval over customer documents, risk assessments running multiple AI pipelines in parallel, customs declarations drafted automatically, and a compliance assistant grounded in each customer's own product data.
You’ll build across the full stack with modern, up-to-date systems and infrastructure (Next.js, TypeScript), and ship features that are deeply integrated with LLMs: retrieval, embeddings, multi-model orchestration. The interesting problems live in the seams: Making model output trustworthy enough that a compliance or quality manager stakes a product launch on it, making retrieval precise when the corpus is 100+ regulatory frameworks, and making all of it feel instant in the UI.
You’ll do this sitting next to the founders, our AI engineers, and our in-house compliance expert at our Copenhagen HQ. No layers, no ticket queues. When a user hits a problem, the fix ships in hours, not sprints.
If you've read this far and thought "that's the AI job I've been looking for," we'd like to meet you.