Senior AI Systems Engineer

Latamcent
Brazil
Hybrid

Who this role is best for

Geared toward engineers with startup experience and a focus on AI agent systems, comfortable with designing automation and feedback loops.

Best fit for

  • Candidates with 5+ years in startups and experience building AI agent systems in production
    — “5+ years as a software engineer, with your most recent role at an early stage startup where you owned outcomes”
  • Individuals who have worked with LLMs and AI agents, not just prototypes, and are comfortable with event-driven systems
    — “Production systems you've built with LLMs and AI agents, not only prototypes”
  • Engineers who thrive in flat, collaborative environments and can shape company direction with ideas
    — “You'll join a small, flat team at a venture backed AI startup, with direct access to the CTO and CEO and real room to shape how the company builds”

Things to consider

  • The role requires a commitment to working in the São Paulo area, preferably in person
    — “São Paulo area preferred (hybrid office)”

How to stand out

  • Highlight specific AI agent systems you've built and their measurable impact in your resume
    — “shipping at least one workflow that agents now run end to end, with a measurable gain in speed, cost or quality”
  • Showcase your ability to design closed-loop systems and handle production signals in your interview answers
    — “Build closed loops where production signals (errors, failures, anomalies) trigger agents to investigate and resolve issues automatically”
  • Emphasize your experience with Python, TypeScript, AWS, and agent tooling in your application materials
    — “Python, TypeScript, AWS, frontier LLMs and agent tooling.”
  • Demonstrate your proactive communication skills, especially in English, with leadership and cross-functional teams
    — “Clear, proactive communication in English, written and spoken, including with founders and executives”
Pace · Fast PacedCollaboration · MediumAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • shipping automated workflows
  • improving agent performance
  • building reliable event-driven services
Typical background
5+ years software engineeringexperience with AI agents

Skills & requirements

Required

AI Systems DesignLLM IntegrationClosed-loop SystemsEvent-driven ServicesMessaging Systems

Preferred

Event-driven ArchitecturesAI Test AutomationPublic Technical Posts

Stack & domain

PythonTypeScriptAWSLlmsAI AgentsProduct SenseCommunicationAISoftware Engineering

About the role

Original posting from Latamcent via Ashby

The Opportunity

Most engineers now use AI to finish tickets faster. This team wants the person who builds the systems that make the tickets unnecessary. You'll design the automations, instrumentation and feedback loops that let AI agents detect a problem, figure out what happened and fix it, with no human in the middle. In your first 90 days, success means shipping at least one workflow that agents now run end to end, with a measurable gain in speed, cost or quality. You'll join a small, flat team at a venture backed AI startup, with direct access to the CTO and CEO and real room to shape how the company builds.

What You'll Own

  • Turn manual engineering and product workflows into automated systems that AI agents can run on their own
  • Build closed loops where production signals (errors, failures, anomalies) trigger agents to investigate and resolve issues automatically
  • Raise agent performance by giving them better context, tools and infrastructure
  • Keep event driven services and messaging reliable as the platform grows
  • Bring ideas to the table: spot what customers would value, push back when something doesn't make sense, and test new approaches before anyone asks
  • Keep leadership in the loop as you work, sharing progress and blockers early

What We're Looking For

  • 5+ years as a software engineer, with your most recent role at an early stage startup where you owned outcomes
  • Production systems you've built with LLMs and AI agents, not only prototypes
  • Most of your code is already written by AI, and you spend your time designing the systems around it
  • Product sense and the confidence to propose ideas without waiting for direction
  • Clear, proactive communication in English, written and spoken, including with founders and executives
  • You stay curious under pressure: when a problem gets harder, you ask, rephrase and dig in

Nice to Have

  • Event driven architectures and messaging systems
  • AI powered test automation, internal tooling or developer productivity systems
  • You build in public: technical posts, side projects, open source or active technical discussions
  • Experience at a venture backed US startup

Tools and Stack

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

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 venture backed US startup building AI agents that operate real software for enterprise teams. The engineering team is small with no management layers, and AI already handles most of the hands on coding.

Source: Latamcent careers (Ashby)

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