Software Engineer 3

📋 Description

• Build and maintain agent skills and the infrastructure to validate, evaluate, publish, and maintain
• Design evaluation datasets and workflows that compare agent behavior against a baseline and produce
• Build agent metrics and observability: skill selection and routing, success and failure outcomes
• Design safety and quality gates for agent-authored content: rule packs, static analysis, confidence
• Create CLIs, libraries, and MCP integrations that other repositories adopt and that run in local
• Integrate tooling into GitHub Actions and other CI workflows, including secrets, annotations, exit

🎯 Requirements

• 2+ years of experience building production software, developer tools, internal platforms, or
• Software engineering fundamentals in API design, testing, error handling, and maintainability
• Experience building CLIs, libraries, test infrastructure, static analysis, or CI/CD workflows
• Ability to design systems usable by developers and reliable in automation
• Experience reasoning about correctness and safety with ambiguous input, nondeterministic output
• Comfort in an evolving R&D environment where the right abstraction emerges through prototypes

🎁 Benefits

• Collaborative, inclusive culture with flexible remote options for Canada-based team members
• Competitive compensation and comprehensive benefits
• Professional growth opportunities and exposure to cutting-edge AI tooling