Jobs in Rio de Janeiro, Brazil

About the role

Commure is hiring a Senior Software Engineer to own the platform powering our fleet of OpenClaw agents. Across Commure, we use autonomous agents to support teams, execute operational workflows, interact with internal systems, and turn organizational knowledge into action. As the number and capabilities of these agents grow, we need a strong technical foundation for deploying, operating, observing, and improving them safely at scale. You’ll own that foundation. This role sits at the intersection of platform engineering and applied AI. You’ll build the infrastructure that runs our agents, develop the harnesses that govern how they reason and act, and establish the tools engineers need to create and deploy new agents quickly. You’ll also operate the existing agent fleet and ensure it remains secure, reliable, observable, and cost-efficient. We’re looking for a strong Python engineer with deep Linux fundamentals who can own both the agent software and the environments where it runs. The ideal candidate combines platform-engineering rigor with practical experience building LLM-powered agents and is comfortable moving between Python application code, Bash-based operational work, Linux virtual machines, Kubernetes, and cloud infrastructure. This is a hands-on role for someone equally comfortable working inside a Linux VM, debugging a Kubernetes workload, writing Python services and automation, designing an agent tool interface, investigating an LLM failure, and improving a deployment pipeline.

What you'll bring

• Across Commure, we use autonomous agents to support teams, execute operational workflows, interact with internal systems, and turn organizational knowledge into action.
• As the number and capabilities of these agents grow, we need a strong technical foundation for deploying, operating, observing, and improving them safely at scale.
• You’ll own that foundation.
• The ability to balance fast experimentation with the security and reliability required for production systems.
• You have built, extended, deployed, or operated an OpenClaw agent.
• You have contributed to OpenClaw or another open-source agent framework.
• Experience operating a fleet of autonomous or long-running AI agents.
• Experience building multi-tenant agent platforms or internal developer platforms.
• Experience with agent evaluation, tracing, replay, simulation, or regression testing.
• Experience with browser agents, computer-use agents, or agents that interact with external systems.
• Familiarity with model gateways, inference providers, prompt versioning, token accounting, and LLM cost optimization.
• Experience securing workloads that access sensitive data or high-impact production tools.