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.
