Senior AI Engineer - LLMs & AI Workflows (Equity)

Procore Technologies

United States

Sur place

USD 141 000 - 194 000

Plein temps

Il y a 5 jours
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Avantages offerts par ce poste

Equity Compensation
Bonus Incentive Compensation

Résumé du poste

Procore Technologies in Austin, TX is seeking a Senior Software Engineer to help build the next generation of AI-powered experiences for the construction industry. You will design, develop, and operate production-quality cloud software, integrating LLMs and RAG into scalable platform services.

You’ll work with Product, Design, and Engineering to translate customer challenges into maintainable solutions, owning end-to-end outcomes and promoting reusable patterns across teams while shaping a PLG

Qualifications

  • Production-grade distributed systems experience.
  • Hands-on AI tech in production software.
  • Familiarity with LLMs and RAG pipelines.
  • Strong system design and debugging skills.
  • Ability to translate ambiguity into architecture.

Responsabilités

  • Design, develop, test, and operate AI-powered apps.
  • Integrate LLMs, AI agents, and RAG into cloud architectures.
  • Collaborate with Product, Design, and Engineering to solve challenges.
  • Advance developer tooling and agent harnesses.
  • Own end-to-end engineering outcomes and performance tuning.
  • Establish reusable patterns and improve code quality.

Connaissances

Distributed systems
Cloud computing
AI integration
LLMs/RAG
API design
Debugging

Formation

Bachelor's in CS or related

Description du poste

Procore Technologies in Austin, TX is seeking a Senior Software Engineer to help build the next generation of AI-powered experiences for the construction industry. You will design, develop, and operate production-quality cloud software, integrating LLMs and RAG into scalable platform services.

You’ll work with Product, Design, and Engineering to translate customer challenges into maintainable solutions, owning end-to-end outcomes and promoting reusable patterns across teams while shaping a PLG

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