Agentic Operations Engineer

Responsibilities

• Build the internal "intelligence OS" of Integrate using tools, agents, and automations to compound team productivity.
• Organize repositories, documentation, and conventions to ensure AI coding agents find the right context and produce high-quality output.
• Develop and maintain internal tooling, including chatbots, CLI tools, and web applications to reduce operational friction.
• Build and own automations for the PR review process, including code quality checks and agent-driven first-pass reviews.
• Evaluate, deploy, and govern bleeding-edge AI tooling such as IDE agents, evals, model gateways, and MCP servers.
• Partner with engineering, product, and design teams to identify bottlenecks and implement system-level fixes.
• Plan long-term AI-native infrastructure, including on-prem and locally-run agent systems for security-sensitive workflows.

Requirements

• 3–5 years of full-stack engineering experience shipping production-grade software.
• Hands-on experience with modern AI tooling (e.g., Cursor, Claude Code, agent frameworks, MCP).
• Proficiency in Python and a typed language such as Go or TypeScript.
• Experience with prompting, eval design, and integrating LLMs into production code paths.
• Experience building developer-facing tooling like CLIs, internal chatbots, or automation scripts.
• Strong DevOps fundamentals, including Docker and CI/CD pipelines (GitHub Actions).
• Solid understanding of security fundamentals, including authentication, authorization, and secret management.
• Must meet US person status requirements due to ITAR/export control regulations.

Benefits

• Competitive salary ranging from $135,000 - $175,000 per year.
• Equity component included in compensation packages.
• Excellent health insurance benefits.
• Matching 401k program and FSA account.
• Commuter benefits and wellness stipend.

About the Company

Integrate is a Seattle-based company building multiplayer project management software for the world’s most ambitious machines. We focus on solving the hardest coordination problems in deep tech, such as rocket launches and advanced manufacturing, where progress depends on seamless collaboration across organizations.