We’re looking for a Senior Software Engineer, Agentic Foundation to join Procore’s Product & Technology organization. In this role, you’ll build and operate the tooling, frameworks, and services that make AI-native workflows the default across Procore's software development lifecycle. The primary goal of this role is to accelerate developer productivity and high velocity without compromising on quality.
As a Senior Software Engineer - Agentic Foundation, you’ll partner with Product & Technology teams, engineering teams across the organization, and Developer Platform leaders to design, build, and evolve core agentic tooling and frameworks. Use your full-stack engineering depth, DevOps instincts, and hands-on AI tools expertise to establish engineering standards, evaluate emerging AI capabilities, and drive high-impact developer workflows—Apply today!
This position reports into a Senior Engineering Manager and will be based in our Cairo, Egypt office. We’re looking for someone to join us immediately.
What you’ll do:
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Design, build, and evolve core agentic tooling that enables engineers to leverage AI natively across the software development lifecycle.
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Evaluate and integrate AI tools and frameworks into Procore's supported agentic suite using data-driven build-vs-buy decisions.
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Vet community-built skills and tools contributed across the organization, establishing evaluation criteria to promote effective solutions.
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Establish and champion engineering standards and platform contracts that allow development teams to ship safely at high velocity.
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Build feedback loops using metrics and observability to measure the impact of agentic workflows on cycle time, failure rate, and throughput.
What we’re looking for:
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Bachelor’s Degree in Computer Science, Engineering, or equivalent practical experience.
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5+ years of professional software engineering experience with depth in full-stack development and backend systems.
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Strong fundamentals in Ruby on Rails, Python, or TypeScript, with comfort reading and contributing across multiple languages.
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Hands-on experience with AI coding tools (Claude, Cursor, Copilot) and building/customizing AI-assisted workflows, skills, or agentic pipelines.
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Solid DevOps instincts with a strong understanding of deployment strategies, feature flags, CI/CD pipelines, and Kubernetes operations.
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Demonstrated ability to navigate uncharted territory by critically evaluating, experimenting with, and implementing fast-moving AI technologies.
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Experience building AI-native developer tooling, MCPs, or LLM evaluation frameworks is a plus.