Staff Software Engineer, Agentic Foundation

Job description

We’re looking for a Staff Software Engineer - Agentic Foundation to join Procore’s Product & Technology Team. The Agentic Foundation team treats AI adoption as an internal product, building and operating the tooling, frameworks, and services that make AI-native workflows the default across Procore's software development lifecycle. This position requires developer productivity experience to achieve high velocity without compromising on quality in this critical functional domain. Procore software solutions aim to improve the lives of everyone in construction and the people within Product & Technology are the driving force behind our innovative, top-rated global platform. We’re a customer-centric group that encompasses engineering, product, product design and data, security and business systems. This role reports to a Senior Manager, Software Engineering and we’re looking for someone to join us immediately. Apply now! What you’ll do: AI is central to how we work. You’ll be expected to master generative tools and agentic workflows, moving beyond just using AI to actively building the agentic future of construction Own the technical vision and architectural strategy for Procore's agentic developer platform — setting the direction for how AI is integrated natively across the full software development lifecycle, from code generation and review through testing, deployment, and observability. Author and drive adoption of architectural RFCs and technical design documents that establish org-wide platform contracts, integration patterns, and engineering standards for teams you don't directly work with. Conduct thorough, constructive code reviews and pair with teammates to elevate code quality and knowledge-sharing across the team. Anticipate second- and third-order consequences of platform decisions; design systems that remain extensible as Procore's agentic capabilities evolve. Collaborate with infrastructure, platform, and product engineering teams to align on shared standards and avoid duplicated effort. Bring strong opinions, loosely held — propose ideas clearly, pressure-test them with the team, and adapt based on feedback. Establish and champion engineering standards, best practices, and platform contracts that allow hundreds of development teams to ship safely at high velocity. Focus on metrics and observability: We intend to become an elite performer in the software industry, and we can only do this if we learn and adapt quickly. We need telemetry from our agentic software delivery systems from which to continually learn how to improve our lead time for changes, our change failure rate, and our mean time to recover from failure. What we’re looking for: 8+ years of professional software engineering experience, with demonstrated depth in full-stack development and backend systems. Proven proficiency with AI-native developer tooling — you have integrated LLM-powered systems into engineering workflows (code review, test generation, agentic pipelines, or similar) and can lead Procore's strategy in this space from day one. Experience building or integrating AI-native developer tooling — LLM-assisted code review, agentic test generation, AI-powered incident triage, or similar. Experience with LLM evaluation frameworks (benchmarks, evals, quality scoring) for assessing tool effectiveness. Experience building MCPs, MCP Gateway, or AI/LLM Gateways. Familiarity of how AI Agents and LLMs work under the hood. Experience working in Developer Platform, DevOps or Developer Experience teams. Strong fundamentals in at least one of: Ruby on Rails, Python or TypeScript; comfort reading and contributing across multiple languages. Solid DevOps instincts: you understand deployment strategies, rollback mechanisms, feature flags, and what 'safe to deploy' actually means in a high-scale environment. Expert-level fluency in software delivery observability: DORA metrics, distributed tracing, SLO/SLA design, and building feedback loops that drive measurable improvement. Track record of mentoring senior engineers and raising the technical bar of those around you — not just executing at a high level yourself. Comfort navigating organizational ambiguity: you can drive clarity, build consensus, and maintain momentum on long-horizon initiatives without close direction.