The Opportunity

AI tools have made closing tickets cheap. This team wants the engineer who asks why the ticket exists and then builds the machinery so agents handle that whole category of work, from spotting the issue to resolving it. Within three months you should have a real workflow running on agents with nobody stepping in, plus data showing it now costs less, runs quicker or produces better results. You join a flat group of senior engineers, work side by side with the CTO and CEO, and get wide latitude to change how the company builds.

What You'll Own

Convert recurring engineering and product work into pipelines that agents carry from trigger to resolution, so the team stops doing it by hand

Connect production signals to action: when errors spike (picture a burst of 500s inside half a minute), your system diagnoses and remediates before anyone gets paged

Lift agent output by giving them richer context, sharper tools and sturdier infrastructure

Keep services and message flows dependable as traffic and customer count grow

Shape what gets built: flag what doesn’t add up, pitch ideas drawn from customers and competitors, and prototype before anyone requests it

Make your work visible to leadership while it’s happening, surfacing blockers early rather than at the finish line

Scout new models and techniques and adopt the ones that earn their place

What We're Looking For

5+ years writing software professionally, including a recent stint at an early stage startup where results were yours to own

Some time at a larger organization, so you can reason about systems at scale

LLM and agent systems you shipped to real users, beyond demos

AI writes the bulk of your code today; your energy goes into the architecture and automation around it

You generate ideas unprompted and back them with product and business reasoning

You narrate progress as you work and ask for help early

Fluent English, spoken and written, at the level of daily conversations with founders

Nice to Have

Production experience with queues, pub/sub or other event based messaging

AI driven test automation, internal developer tooling or self healing systems you built

A public trail of your work: technical writing, side projects, open source or community threads

Founding or early engineer experience at a VC backed US startup

Tools and Stack

Python, TypeScript, AWS, frontier LLMs and agent frameworks.

Details

Location: Brazil, São Paulo area preferred (hybrid office).

Time Zone: BRT

Salary: $70K to $75K/year USD

Equity: Yes

Type: Contract

About the Company

A US based, venture backed B2B SaaS startup past its Series A, around 35 people, building an AI agent that learns unfamiliar enterprise apps and data on its own and carries out real business tasks inside them. Engineering is small with no management layers, and AI already writes most of the code.