Careers

AI is rewriting careers.
Build yours where it becomes operation.

The most valued skill of the decade isn't using AI — it's making it work inside real operations. That's exactly what gets built here, every day.

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The moment

There's never been a better time
to work with real AI.

The data leaves no doubt: people who master applied AI are at the center of this decade's job market — across every area, not just engineering.

+56%

is the wage premium for workers with AI skills over equivalent roles — it doubled in one year

PwC, Global AI Jobs Barometer 2025

170M

new jobs by 2030 — with AI and big data topping the fastest-growing skills

WEF, Future of Jobs 2025

1.3M

AI-related jobs created worldwide in just two years

LinkedIn, 2026

And in Brazil? AI, systems integration and cybersecurity are among the fastest-growing skills (LinkedIn, 2026). Integrating AI into the systems companies already use is literally what we do at Zihin — whoever builds this today carries the scarcest skill in the market.

Applied AI needs more than ML engineers

An agent runtime in production is built by people from many areas — each one compounds a skill the market pays a premium for.

Platform engineering

APIs, runtime, observability and infrastructure that survive real production. Here, your code handles thousands of agent executions — not a POC.

Data engineering

Replicas, semantic views, data contracts that turn legacy ERPs into AI tools. The bridge between the client's database and the agent.

Implementation and integrations

The fastest-growing profile in the market: the person who enters the client's operation, connects real systems and takes the agent to production. Half engineering, half field.

Product and design

Console, builder, configuration experiences. Making governance and observability usable is a genuinely hard design problem.

Security and infrastructure

Vault, tenant isolation, contextual policies, Tunnel. Security here isn't a checklist — it's product architecture.

Technical sales and CS

Diagnostics, demos on real systems, post-production customer success. Selling AI honestly requires understanding what it does — and what it doesn't.

Why Zihin

A small team by choice. What we promise is what you find on day one.

Product over fashion

We choose architecture for longevity, not hype. If the decision doesn't age well, it doesn't go in.

Lean on principle

We prefer three great people to ten average ones. Zero meetings just to show face.

Operation before polish

A feature is done when it runs in production with a paying client, not when it leaves design.

Brazil + world

Remote-first, BR timezone as default. Clients in Brazil, incorporated in DE. The team thinks bilingual.

It's not talk: what we build runs at real clients, every day. See the live operation

No open positions right now.

A small team hires sparingly — and starts with those who already introduced themselves. Your CV goes to the internal pool; when a relevant position opens, we call the list first.