Software Engineer I (Datagrid)

Procore Technologies
4dOnsite

About The Position

We're looking for a Software Engineer I to join Procore's AI Division. In this role, you'll design, develop, and deploy AI-driven agents that automate construction workflows for our customers. The primary goal of this role is to build reliable, scalable agentic systems that deliver measurable value to Procore's customers. As a Software Engineer I, you'll partner with Product and Design to build and ship agentic automations end-to-end. Use your TypeScript, Python, and LLM application experience to deliver high-impact workflow automations that help construction teams work smarter. You'll work with cutting-edge agentic tooling on real production systems that reach thousands of customers—apply today. This position reports into an Engineering Manager and will be based in our San Francisco offices. We're looking for someone to join us immediately.

Requirements

  • Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
  • 1–2 years of experience in software development.
  • Proficiency in TypeScript and Python.
  • Hands-on experience developing or deploying LLM applications or AI agents.
  • Ability to work independently and manage your own priorities in a distributed team environment.
  • Strong problem-solving skills with attention to reliability and production quality.
  • Clear communication skills and a collaborative approach to cross-functional work.
  • Genuine interest in agentic AI systems and how they can solve real-world problems.

Responsibilities

  • Design and develop scalable AI agent systems that automate key customer workflows in the construction industry.
  • Collaborate with Product and Design to scope, build, and ship agentic features from concept to production.
  • Implement and maintain TypeScript and Python codebases for LLM-powered automations.
  • Write clean, well-tested code and participate in code reviews to uphold engineering quality standards.
  • Monitor and troubleshoot production AI systems to ensure reliability and performance.
  • Stay current with advancements in agentic frameworks and LLM tooling to inform technical decisions.
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