AI Engineer - Internal Agents & Automations

About the Position

AI is not only changing what companies build. It's changing how they are run: which work needs a person, which work needs a process, and which work should simply be handled by an agent while everyone sleeps.

The companies that work this out first will operate at a scale their headcount doesn't explain. haddock intends to be one of them.

We already do this for our customers. We took a point of control and turned it into the harness where an AI workforce lives and does the operational work for thousands of restaurants. This role does the same thing inside the company: the agents that take the repetitive work off CX, Sales, Marketing, Partners, Finance and People, and the software they live in.

To be clear about where we are. We have the first agents in production and the first pieces of the internal platform. But there is still a lot ahead of us. If you're looking for the version of this job where everything is built and you keep it running, this isn't it.

This is a x10 role. Not the kind that makes one team 10% faster. The kind where an agent you ship on a Tuesday takes a full week of manual work off an entire department, every week, from then on.

About the Company

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.

Last month, haddock users consumed +15 billion tokens through our AI products. That's not AI hype, it's a product running at scale for thousands of restaurants across Spain.

We're now applying the same philosophy inside the company. Every process a human repeats is a process an agent should be doing.

👉 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.

Responsibilities

• Hunt for leverage. Sit with CX, Sales, Marketing, Partners, Finance and People, understand their real day, and find the processes that eat the most hours. Then decide what's actually worth automating. Some problems need a multi-agent system, some need 20 lines of code, and telling them apart is most of the job.
• Build the agents and own the software they live in. This role is not limited to the AI layer. An agent is only as useful as the harness around it: the triggers, the tools it can call, the data it can read, the service that runs it, the interface where a human reviews its work. You own all of it, from the first commit to production and to whatever breaks at 9am on a Monday.
• Own the systems, not just the integrations. HubSpot, Zendesk, Slack, Notion, our own product databases, GCP. Sometimes that means migrating or reconfiguring a tool before anything intelligent can run on top of it, and when the integration you need doesn't exist yet, you build it. Whoever owns the system decides what the AI on top of it is allowed to do, so we'd rather that be us.
• Own AI observability for everything you ship. Traces, evals, metrics. An internal agent nobody measures is an internal agent nobody trusts.
• Maintain and improve our own AI frameworks. We build our own tooling for AI observability, evals and human annotation instead of settling for whatever comes out of the box. You'll use it every day, and you'll be one of the people making it better.
• Prove your impact with numbers. We keep a ledger of automated workflows with a measured baseline before and after. We don't declare hours saved, we measure them, and that's on you for whatever you build.
• Do your own project management: you find the problem, you sell the solution internally, you roll it out, you train the team that will use it, and you keep it alive.
• Build the internal platform: MCPs, skills and shared tooling, so every haddocker can build their own small automations on top of what you ship.

Requirements

• 1+ years of hands-on experience building AI systems or automations that real people use every day.
• You're truly AI-native: you follow new models, frameworks, and techniques, and you continuously refine how you use them in practice.
• You're also AI-native in how you build: you use modern AI-powered dev tools (Claude Code, Cursor, Codex or similar) and assemble your own agents and workflows to move faster.
• You think in systems, not tasks. When you watch someone do something by hand, your instinct is to ask what the process really is, and then whether it should exist at all.
• You're comfortable with product engineering. TypeScript or Python, and you're comfortable with APIs, webhooks, jobs, queues, databases, and shipping a frontend when the workflow needs one. The prompt is often the smallest part of the problem, and you own the service around it rather than handing it to someone else to maintain.
• You have business empathy. You can sit with a CX agent or a salesperson, understand their workflow, and turn it into a system. You enjoy talking to people, not only to a terminal.
• You're analytical and quantitative: you measure before optimizing, but you never let analysis slow down shipping.
• Fluent in Spanish and comfortable in English. Most of your stakeholders work in Spanish, so this one matters.

Nice to Have

• Experience with AI observability platforms like langfuse (tracing, metrics, evals for LLM apps and agents)
• Designing and running evaluations
• Building and orchestrating multi-agent systems
• Designing or working with MCPs
• RAG systems and vector databases
• Deep hands-on work with the APIs of HubSpot, Zendesk, Slack or Notion
• Having automated a real business process end to end, and having the numbers to prove what it saved

We Offer

• 🚀 First and foremost, the project itself: a fast-growing startup with ambition, product-market fit, and great culture
• 🏢 A bright modern office in Barcelona, Poblenou, probably the best office you've ever worked at
• ☯️ At least 2 days per week at the office (in-person collaboration) + 3 days WFH for focus
• 🪄 All AI tooling you wish to experiment with
• 🧘 A subsidized Urban Sports Club membership: yoga, HIIT, hot studios
• 💰 Salary benefits via Playflow

Location

HQ - Barcelona

Remote Status

Hybrid

Salary

€32,000 - €48,000/year

Contact

Enric Chust

AI Lead – Product