About the Role

We're hiring an Agentic Operations Engineer to help us build the internal intelligence operating system of Integrate.

This role sits at the intersection of engineering, product, and operations. Your prime directive is to leverage modern AI tooling and agentic strategies to increase organizational velocity across engineering, product, design, and ops.

You are an engineer first. You've shipped real full-stack applications, and you understand the discipline of deploying and maintaining software people actually depend on. But what energizes you most is the next layer up: how do we structure a codebase, an organization, and a workflow so that humans and agents can collaborate fluidly? How do we eliminate the scavenger hunt for context and keep that context fresh? This is your purview.

This role is part tactical and part strategic. Tactically, you'll write code, build internal tools, automate pipelines and workflows, and audit repos so that the agents working alongside us route correctly and produce high-quality output. Strategically, you'll look ahead, parse requests coming in from product, engineering, design, and ops, and merge them into efforts that make sure we aren't doing redundant or parallel work across teams. You'll audit teams, unblock bottlenecks, stand up new systems, and ship tools that compound across the org.

You'll report directly to the VP of Product and work closely with engineering, product, and operations. This role is in person at our Ballard office in Seattle.

What You'll Work On

• Build the internal "intelligence OS" of Integrate - the tools, agents, automations, and conventions that compound the team's productivity over time
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• Organize our repos, docs, and conventions so that AI coding agents route correctly, find the right context, and produce high-quality output
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• Stand up and maintain internal tooling - chatbots employees use to find answers, CLI tools that support day-to-day workflows, small web apps that smooth over operational friction
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• Build and own automations around the PR review process - code quality checks, agent-driven first-pass review, security and convention enforcement
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• Partner with engineering to identify code-quality issues, ambiguous structures, or stale conventions that slow down both humans and agents, and propose fixes
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• Support the product team as they get closer to the codebase, and the design team as they work more directly in feature branches - pairing, building scaffolding, refining prompting workflows
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• Evaluate, deploy, and govern bleeding-edge AI tooling: IDE agents, evals, model gateways, MCP servers, on-prem systems
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• Audit teams proactively. Surface friction. Propose system-level fixes rather than one-off patches
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• Be the person teammates come to with questions, ideas, and half-built experiments - and the person who leads when no one is asking
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• Plan three to six months ahead for what an AI-native Integrate looks like, including on-prem and locally-run agent infrastructure for our most security-sensitive workflows
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• Contribute occasionally directly to the core application codebase when needed
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Tech Stack

React, Golang, GraphQL, REST, PostgreSQL, GitHub Actions. Our environment also includes Tailwind CSS.
Experience

We're looking for someone with a strong foundation in full-stack engineering and AI tooling - though we don't expect you to check every box. Here's the kind of background that sets you up well:

• 3-5 years of full-stack engineering experience shipping real production software - not just tinkering
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• Active, hands-on use of modern AI tooling - Cursor, Claude Code, Codex, agent frameworks, MCP, and whatever shipped this week
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• Comfort with prompting, eval design, and integrating LLMs into production code paths
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• Experience building developer-facing tooling: CLIs, internal chatbots, small web apps, automation scripts - bonus if you can point to them
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• DevOps fundamentals - Docker, CI/CD pipelines (GitHub Actions or similar), deploy and maintain internal tools without supervision
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• Security fundamentals - authn/authz, secret management, API surface design, and a working sense for what's safe to expose internally vs. externally
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• Comfort with Python and a typed language (Go and/or TypeScript)
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• You don't need to be senior. If you spend your nights shipping side projects on the bleeding edge of AI tooling, that signal matters more than years on a resume
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Who You Are

You are a builder and a tinkerer. You can't help but try the new thing the day it ships. Your bookmarks tab is full of agent framework docs, half-finished MCP servers, and three different harness experiments. You ship.

You see organizational friction as a design problem, not a fact of life. When you notice the design team is hand-copying screenshots between tools, or engineers are re-explaining the same architecture decision for the fifth time, you don't shrug - you go build the fix.

You're a generalist in temperament. You're happy writing a CLI in the morning, evaluating a new model in the afternoon, and pairing with a designer on a feature branch in the evening. You enjoy supporting other people's work as much as your own, and you measure your impact by how much faster the team moves around you.

You are operationally rigorous. Integrate's customers build rockets, aircraft, and the systems that protect them. The tools you build are secure, observable, and don't fall over the moment someone else touches them.

You communicate openly, surface problems early, and don't wait for permission to fix things that are obviously broken.
ITAR Requirement

This position requires access to information protected under US export control laws, including the International Traffic in Arms Regulations and/or the Export Administration Regulations. As such, US person status (including US citizens, U.S. permanent residents, individuals granted U.S. asylum status, or individuals admitted in U.S. refugee status) is a required qualification for this position.
$135,000 - $175,000 a year

An equity component is also included in our compensation packages. We also offer excellent health insurance benefits, matching 401k program and FSA account, commuter benefits, wellness stipend, etc.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.