Staff+ Fullstack Software Engineer, Safeguards Engineering na Anthropic

Híbrido - San Francisco, CA; New York City, NY

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Anthropic’s Safeguards Engineering team is building safety and oversight mechanisms for AI systems. The Staff+ Fullstack Software Engineer role focuses on creating internal tools to monitor models, detect misuse, and enforce policies. The position is hybrid, based in San Francisco or New York City, and requires a strong background in full‑stack development, TypeScript, React, and Python, along with experience in building data‑dense internal tools and trust‑and‑safety mechanisms.

Salary

USD 405,000 - 485,000

Requirements

Skills

  • Bachelor’s degree in Computer Science, Software Engineering or comparable experience
  • Proficiency in TypeScript and modern React; comfortable in Python for backend work
  • Ability to work across the stack
  • Strong communication skills and ability to explain complex technical concepts to non‑technical stakeholders
  • 8+ years of experience in a software engineering position
  • Experience building data‑dense internal tools or operator interfaces
  • Experience with integrity, spam, fraud, or abuse detection and mitigation
  • Experience building trust and safety detection mechanisms and intervention for AI/ML systems
  • Experience with prompt engineering, jailbreak attacks, and other adversarial inputs
  • Experience working closely with operational teams to build custom internal tooling

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.

Technologies

TypeScriptReactPython

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