Integrate develops an ultra-secure, AI-native project-management and collaboration platform for classified, multi-entity government and defense programs.
About Us Integrate is a Seattle-based company building multiplayer project management software for the world’s most ambitious machines. We focus on the hardest coordination problems in deep tech like rocket launches and advanced manufacturing, where progress depends on seamless collaboration across companies. Increasingly, this work sits at the intersection of two of the most consequential forces shaping the modern world: defense and artificial intelligence, where both the pace of innovation and the stakes of execution are exceptionally high. Integrate enables teams to collaborate with vendors, customers, and partners as fluidly as modern tools support internal teams. Our mission is to modernize how organizations build together in the emerging deep tech economy, reducing friction, misalignment, and unnecessary work at every step. Our Solution Traditional project management tools weren’t designed for the speed, scale, and interdependence of modern hardware development. Integrate is purpose-built for this new reality. We provide a platform that brings clarity and structure to complex, cross-organizational programs helping teams communicate effectively, stay aligned, and move faster with confidence. By improving how critical information is shared and decisions are made, we enable organizations to focus on what matters most: building the future. 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 Organize our repos, docs, and conventions so that AI coding agents route correctly, find the right context, and produce high-quality output 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 Build and own automations around the PR review process — code quality checks, agent-driven first-pass review, security and convention enforcement Partner with engineering to identify code-quality issues, ambiguous structures, or stale conventions that slow down both humans and agents, and propose fixes 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 Evaluate, deploy, and govern bleeding-edge AI tooling: IDE agents, evals, model gateways, MCP servers, on-prem systems Audit teams proactively. Surface friction. Propose system-level fixes rather than one-off patches Be the person teammates come to with questions, ideas, and half-built experiments — and the person who leads when no one is asking 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 Contribute occasionally directly to the core application codebase when needed Tech Stack Our core application is built on React, Golang, GraphQL, REST, PostgreSQL, and GitHub Actions, with Tailwind CSS on the frontend. Familiarity with any of these is a plus, but you don't need to know our stack to be successful in this role. You'll spend most of your time in the layer above — building tooling, agents, and automations that work alongside our engineers, not necessarily inside our product. Experience We're looking for someone with deep fluency in AI tooling and agentic systems, and enough full-stack engineering experience to build real things people depend on. You don't need to check every box — but here's the kind of background that sets you up well: AI & Agentic Systems Prompt engineering & LLM integration — Knows how to write effective system prompts, structure context windows, and integrate with LLM APIs (Anthropic, OpenAI, etc.). Not just "has used ChatGPT" — understands token limits, tool use, and how model behavior changes with prompt design. Agent orchestration — Experience building multi-step agentic workflows using tools like Claude Code, LangChain, or similar frameworks. Understands how to chain tools, handle failures gracefully, and design loops that don't go off the rails. Agentic security posture — Understands the specific attack surface that comes with giving agents tool access: prompt injection, over-permissioned tool scopes, secrets leaking into context windows, and unintended data exfiltration through third-party API calls. Knows how to scope what an agent can see and do, app