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[ORE] Staff Software Engineer, Full Stack - Gen AI

San Francisco Full-time On-site $252k — $315k per year 10/05/2026 Job ID: 000383
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Reinforcement Learning with Human Feedback Human Data Generation Model Evaluation Safety Alignment

Summary

What you’ll impact

The role is a Staff Fullstack Engineer & Architect (L6) responsible for leading the architectural overhaul of the organization’s Generative AI Data Engine platform, working across backend, frontend, and ML systems, and acting as an organizational architect and tech lead across cross‑functional teams. The engineer will deploy flexibly into high‑priority initiatives, mentor engineers, and shape the roadmap while ensuring scalability, reliability, and performance of the stack.

Responsibilities

What you'll do

  • Act as an organizational architect and tech lead, dynamically embedding yourself into the highest-priority projects across the org to guarantee execution, unblock teams, and successfully ship mission-critical initiatives.
  • Lead the long-term technical evolution of our stack, transforming the core architecture to ensure it is highly sustainable, scalable, and fundamentally AI-native.
  • Deploy flexibly into critical, fast-moving product initiatives across the CB organization
  • Lead the architectural overhaul of our platform infrastructure, making it highly sustainable, robust, and optimized for deep integration with LLMs and foundation models.
  • Lead architecture decisions for scalability, reliability, and performance
  • Mentor and uplevel engineers across the team
  • Partner with product and leadership to shape roadmap and priorities
  • Own large, ambiguous problem spaces end-to-end
  • Work across backend, frontend, and ML systems

Requirements

What you’ll bring

  • 7+ years of full-time engineering experience, post-graduation, with a proven track record of operating as a Tech Lead, Architect, or Principal Engineer.
  • Track record of shipping high-quality products and features at scale
  • Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies
  • Proficient in Javascript/Typescript, and SQL
  • Experience with Kubernetes
  • Experience with major cloud providers (AWS, Azure, GCP)

Ready to Move Forward?

Apply now and our recruiting team will reach out with next steps, interview guidance, and client insights tailored to this role.