This role is ideal for someone with practical experience using AI coding agents, and a logical approach to troubleshooting. You do not need to be an expert in every technology listed, but you must be willing to investigate problems, verify information, learn quickly, and take responsibility for seeing tasks through to completion.
Key Responsibilities
Use AI coding agents such as Claude Code, OpenCode Codex, or similar tools to develop, test, debug, and improve software.
Direct and supervise AI coding agents, manage parallel development tasks, and ensure their outputs are reviewed, tested, and completed properly.
Investigate the root causes of bugs, performance bottlenecks, build failures, and infrastructure issues rather than relying on temporary workarounds.
Maintain reliable logs, telemetry, progress reports, and performance measurements to support evidence-based decisions.
Read official documentation before implementing solutions, verify AI-generated suggestions, and use maintained third-party tools where appropriate instead of unnecessarily building from scratch.
Work with repositories, version control, build processes, hooks, and CI pipelines to support reliable software delivery.
Willingness to read official documentation, test assumptions, and verify technical claims rather than relying blindly on AI-generated answers.
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