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Staff+ Fullstack Software Engineer, Safeguards Engineering

Anthropic· Safeguards (Trust & Safety)
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Hybrid (San Francisco, CA), Hybrid (New York City, NY)$405k - $485kFull-timePosted 1w ago

About the role

Fullstack software engineer role focused on building safety and oversight mechanisms for Anthropic's AI systems, including monitoring models, preventing misuse, and supporting user well-being through internal tools and data-driven insights.

Responsibilities

  • Design and build the internal review tools analysts use to investigate abuse — dashboards, case queues, and evidence viewers that make high-volume, high-stakes decisions fast and accurate.
  • Build the interfaces where humans supervise agents: streaming output, interruption and approval flows, and clear provenance for every action an agent takes.
  • Surface abuse patterns to our research teams through the visualizations and exploration tools that make emerging patterns legible.
  • Own the frontend architecture for tools handling sensitive data at scale — performance under large datasets, correctness under real-time updates, and access controls enforced end to end.

Qualifications

  • A Bachelor’s degree in Computer Science, Software Engineering or comparable experience
  • Proficiency in TypeScript and modern React; comfortable in Python for backend work
  • The ability to work across the stack
  • Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders

Skills

Required:TypeScriptReactPythonFrontend architectureCross-stack collaborationCommunication

Benefits

  • Competitive compensation and benefits
  • Optional equity donation matching
  • Generous vacation and parental leave
  • Flexible working hours
  • Office space in San Francisco or New York City
  • Guidance on Candidates' AI Usage policy during application
Last updated Oct 14, 2026. Interested? Apply on the company site.

About Anthropic

building reliable, interpretable, and steerable AI systems

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

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