AI Engineer

Last month, haddock users consumed +20 billion tokens through our AI product. This isn't AI hype. It's our AI workforce, running 24/7 for thousands of restaurants across Spain.

None of it starts from clean data. Thousands of suppliers, no standards, documents that contradict each other, an entire industry's economics buried in paper and spreadsheets. Pulling fields out of a PDF is the easy part. The challenge is building an AI system that can interpret a chaotic document and knows when to ask instead of guess.

We're not adding a chatbot to an ERP. We're building the intelligence layer that makes an entire industry legible, for the first time.

We're looking for an AI Engineer who is analytical, quantitative and deeply AI-native. Someone who parallelizes hypotheses with coding agents, stays relentlessly focused on AI that scales and solves real customer pain, and measures before optimizing without ever letting analysis slow down shipping.

Who are we?
haddock is the AI-powered back-office for restaurants. We started as a system of record (inventories, purchases, invoices, bank reconciliation, P&L reports) and turned it into the harness where our AI workforce lives. They run 24/7, doing the heavy operational work so restaurateurs can focus on what they do best.

Our customers don't just save time. They make better decisions, catch problems before they escape, and run tighter businesses: an owner finally sees what they really pay for each product, where the margin goes, and the exact moment a dish stops being profitable. That's the kind of value we're here to deliver.

Our mission is to empower millions of restaurateurs to level up their business.

Our vision is to lead the market through innovation, strong relationships, and by becoming the go-to tech partner for restaurant success.

haddock is backed by Y Combinator, the accelerator behind Airbnb and Twitch. We're growing fast with support from JME, Decelera, Extension Fund, Wayra, and Zone2Boost.

Why are we hiring?
Our ambitions are growing: more customers, more AI automation, more product surface, more value. Our engineers don't wait for a project to be defined. They create momentum, propose ideas, and are a key part of the company's growth.

We're growing very fast, which means hundreds of processes, decisions, and workflows every week that can and should be automated. From simple deterministic pipelines to AI agents that get the job done. That's where you come in: an AI Engineer who loves solving complex challenges by designing, building, and deploying AI systems that think, act, and automate intelligently.

What you'd be working on
So you know what the job actually is:

Document understanding at scale. Every invoice and delivery note a restaurant receives goes through our OCR. Accuracy at single field level, business casuistics for document understanding, cost per document and latency are all on the table, every single day.

Fina, our conversational agent, and the most ambitious thing we build. Fina sits on top of everything haddock knows about a restaurant: purchases, suppliers, stock, sales, bank movements, P&L. Ask it anything about the business and it answers, and increasingly it goes and does the work instead of just reporting on it. It's the surface where the whole system has to behave as one, and most of what it will become is still unbuilt.

End-to-end workflows that get the job done. Complex reconciliations, data workflows, and imports of the most chaotic data you can imagine: a supplier catalogue inside a photographed PDF, a POS export nobody ever documented, ten years of a restaurant's history in a spreadsheet built by six different people. Somebody has to turn all of that into something a system can trust.

Product and format matching. Turning the messy free text of thousands of suppliers into a clean catalogue a restaurant can run its inventory on.

The internal packages every one of our agents shares : AI observability, evals and human annotation. They are ours, we maintain them, and the quality of every agent we ship depends on them.

What you'll do

Architect and ship AI solutions for restaurateurs , balancing latency, cost, and accuracy.

Obsess over efficiency. A single line of code has saved us thousands of dollars, minutes of latency, or unlocked a step change in accuracy. You'll think this way by default, and you'll keep the cost of what we run in view as we scale.

Own AI observability end to end : monitor billions of traces, design evaluation frameworks, and close the improvement loop as fast as possible.

Maintain and develop our internal packages for AI evals, AI observability, human annotation, domain . Every agent we run is built on top of them, so making them better makes everything better at once.

Build the harness. A model on its own is not a product.