Staff AI Productivity Engineer

Quick Facts

• Role: Staff AI Productivity Engineer

• Focus: AI-assisted development experience (agentic environments, tooling/integrations, documentation & enablement)

Description

Staff AI Productivity Engineer role focused on accelerating how engineering works with AI coding agents. You’ll build infrastructure and tooling that make agents dramatically more effective across the codebase—owning the problem end-to-end from autonomous cloud dev environments to MCP integrations and repo-wide documentation.

Responsibilities

• Own agentic development environments so agents can run autonomously in cloud-based sandboxes, execute full test suites, and review build/test results

• Build AI tooling integrations, including MCP server integrations to connect agents to systems needed to build and debug software (e.g., CI, chat/alerts, monitoring, repos)

• Create and maintain repo-wide agent documentation and context (e.g., agents.md) and continuously improve agent guidance, conventions, and package structures

• Enablement: identify where agents struggle with root-cause improvements (docs, tooling access, etc.) and build tools that let non-engineers make simple visual updates

• Serve as a “PM” for internal AI agents by tracking state-of-the-art AI productivity trends and driving improvements across engineering

Requirements

• Strong software engineering fundamentals; ability to dive into complex backend code and understand it quickly

• Deep hands-on experience with AI coding agents (Claude Code, Cursor, Copilot, Devin, or similar)

• Experience writing effective agent documentation, custom instructions, or context files that meaningfully improve agent output

• Track record of building developer tools or infrastructure that other engineers actually use

• Comfortable working across the stack (CI/CD, cloud infrastructure, internal tooling, and application code)

Benefits

• Meaningful equity compensation

• Remote-first, location independent role

• Salary range: $180,000 - $400,000 USD per year