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Software Engineer - AI Enablement

Scale AI· Data, Technology & Systems
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San Francisco, CA$180k - $225kfull-timePosted 2mo ago

About the role

Scale GP's AI Enablement team builds agent-powered tools to ground AI in real operational workflows, solving real business problems internally and selectively commercializing the stack for customers. This 0→1 role involves end-to-end ownership across the stack, collaborating with product, data science, and applied AI teams to ship production-ready AI-enabled workflows.

Responsibilities

  • Own full-stack features and projects end-to-end — from design through production deployment — within a larger product area
  • Sample surfaces - Accounting Agents, Finance Copilots, GTM Agents, Agentic Experimentation Platforms
  • Develop reliable backend services in Typescript/Python, work with distributed systems, data pipelines, and AI/ML infrastructure
  • Integrate LLMs, vector databases, and agentic frameworks to power intelligent workflows
  • Ship quickly through tight experimentation loops while maintaining high quality and reliability
  • Adapt across the stack and learn new tools as needed to solve real problems end-to-end

Qualifications

  • 3+ years of full-time software engineering experience
  • Solid full-stack fundamentals with production ownership of features you've shipped
  • Familiarity with LLMs, embeddings, vector databases, or modern AI data products/tools
  • Exposure to distributed systems and cloud-based architectures

Skills

Required:Full-stack developmentTypescript/PythonDistributed systems
Nice to have:LLMs / embeddings / vector databases

Benefits

  • comprehensive health, dental and vision coverage
  • retirement benefits
  • learning and development stipend
  • generous PTO
  • commuter stipend (may be eligible)
Last updated Aug 19, 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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