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Data & Product Engineer

A tool nobody opens is a failure, however good the code is. You model the data and build the screen the team opens every morning.

  • Employee or freelance
  • Wherever you want
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AI workers

that make decisions, take action and run operations autonomously

Custom-built

around the way each business works

Client-owned

no lock-in, no endless licences

nalto deploys AI inside mid-sized companies. For real, in production.

We do it through AI workers: agents that take over a job from start to finish. They don't just communicate through voice and email: they make decisions, take action, and run operations autonomously across entire enterprise systems. Around them, we build custom software designed for the way each business actually works.

Mid-sized companies know AI could transform how they operate. What they lack is the team to make it happen, and most assume custom AI is reserved for large corporations. We prove them wrong: one process at a time, in production, measured in hours given back to their teams.

Nothing off the shelf, nothing stuck in a demo. And everything we build belongs to the client: no lock-in, no endless licences.

We operate in Spain and France, and we're building our presence in the UAE.

The role

What you build

  • The data model: what the company actually knows, arranged so it can be used.
  • The pipelines that feed it without someone watching them every morning.
  • The interface: the one people open daily, not the dashboard they look at once.

What we're looking for

  • You're as good on a data schema as you are on a screen.
  • You watch people use what you made, and it changes what you build next.
  • You'd rather have one thing used than three things delivered.

What it isn't No showcase dashboard, no data platform to admire. We ship what gets used.

Why join us

Real production

Every project ends with an AI worker live in production. Then on to the next.

A direct line to decision-makers

You work with CEOs, not five layers of middle management.

Variety

New industries, new processes and new problems with every client, across three markets.

Best-tool budget

Latest models, your editor, your stack. We pay for what makes you fast.

Weekly demos

Every deployment is shown live to the team. You see everyone's work, and everyone sees yours.

How we work

  1. Production or nothing

    A demo isn't a deliverable. If it's not running in a real business, it's not done.

  2. Extreme ownership

    Your AI worker, your client, your call. If something breaks, even outside your lane, you fix it or flag it. Nobody here waits for a ticket.

  3. Craft over volume

    We'd rather ship one AI worker that runs flawlessly for years than five that need babysitting. Quality compounds, duct tape doesn't.

  4. Talent density

    Small team, no passengers. The best argument wins, whoever makes it.

  5. Urgency with focus

    Speed is a promise, not a vibe. We move fast on what matters and refuse to be busy with what doesn't.

How we hire

The process

Four steps, two weeks: a thirty-minute call with a partner; a technical conversation about something you've already built; one real, paid day of work on an anonymised client process; an answer within five working days. No HR round, no personality test, no whiteboard algorithms.

You get an answer

A partner reads it, not an automated filter. We answer everyone, including when the answer is no.

Sounds like you?
Let's talk.

A two-minute form. A link to your LinkedIn or GitHub is enough, no CV needed.

Apply for this role