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Staff Software Engineer, Full Stack - Gen AI

Scale AI· Gen AI Engineering
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Hybrid (New York, NY), Hybrid (San Francisco, CA), Hybrid (Seattle, WA)$252k - $315kfull-timePosted 3mo ago

About the role

L6 Staff Fullstack Engineer & Architect supporting multiple Contributor (CB) teams (Allocation, Growth, Trust & Safety, Pay, Allocations) to architect, lead, and ship mission-critical AI data operations and platform evolution.

Responsibilities

  • 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

Qualifications

  • 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)

Skills

Required:Javascript/TypescriptSQLKubernetes

Benefits

  • comprehensive health, dental and vision coverage
  • retirement benefits
  • a learning and development stipend
  • generous PTO
  • commuter stipend (may be eligible)
Last updated Sep 9, 2026. Interested? Apply on the company site.
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About Scale AI

Data-centric infrastructure to accelerate the development of AI

Scale accelerates the development of AI within organizations of any size to deliver critical business insights and operational efficiency. Its data-centric infrastructure platform leverages RLHF (Reinforced Learning with Human Feedback) to help organizations build the strongest AI models that supercharge their business, with customers across industries including Meta, Microsoft, U.S. Army, DoD’s Defense Innovation Unit, Open AI, General Motors, Toyota Research Institute, Brex, Instacart and Flexport.

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