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Tech Stack
Tools & technologiesAWSOpen SourcePythonTypeScript
About the role
Key responsibilities & impact- Design automations, instrumentation and feedback loops that let AI agents detect problems, determine what happened and fix issues without human intervention
- Turn manual engineering and product workflows into automated systems that AI agents can run independently
- Build closed loops where production errors, failures and anomalies trigger agents to investigate and resolve issues automatically
- Improve agent performance through better context, tools and infrastructure
- Maintain reliability of event-driven services and messaging as the platform grows
- Identify customer-valued ideas, challenge approaches and test new solutions proactively
- Share progress and blockers early with leadership
- Ship at least one end-to-end agent-run workflow within the first 90 days, with measurable speed, cost or quality gains
Requirements
What you’ll need- 5+ years as a software engineer
- Most recent role at an early stage startup where you owned outcomes
- Production systems built with LLMs and AI agents, not only prototypes
- Most code already written by AI, with time spent designing systems around it
- Product sense and confidence to propose ideas without waiting for direction
- Clear, proactive communication in English, written and spoken, including with founders and executives
- Curiosity under pressure: asking, rephrasing and digging in when problems get harder
- São Paulo area preferred for hybrid office work
- Familiarity with Python, TypeScript, AWS, frontier LLMs and agent tooling
- Event-driven architectures and messaging systems are nice to have
- AI-powered test automation, internal tooling or developer productivity systems are nice to have
- Technical posts, side projects, open source or active technical discussions are nice to have
- Experience at a venture-backed US startup is nice to have
Benefits
Comp & perks- Equity
- Direct access to the CTO and CEO
- Real room to shape how the company builds
