latamcent

Senior AI Systems Engineer

Listed by employer · Checked

Posted within 60 days ·

  • hybrid
  • FullTime
  • Engineering & Artificial Intelligence
  • Brazil
Work arrangement
hybrid
Employment
FullTime
Stated compensation
Not specified
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Requirements

3 with evidence6 unclear or unstated
Remote policy
hybrid
“Provider workplace type: hybrid”
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Geographic scope
BR
“Location: Brazil, São Paulo area preferred (hybrid office).”
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Timezone / hours
Time Zone: BRT
“Time Zone: BRT”
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Employment type
FullTime
7 fields not stated in this posting
Employer sponsorship
Not specified
Degree requirement
Not specified
Security clearance
Not mentioned
Citizenship requirement
Not mentioned
Minimum experience (years)
Not specified
Work authorization
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Compensation
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READ IT IN THE EMPLOYER’S OWN WORDS

Original job description

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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
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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.
Original formatting and links

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.

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