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Staff+ Software Engineer, Safeguards Review Tooling at Anthropic - ApplyBlast

Staff+ Software Engineer, Safeguards Review Tooling

Anthropic

3 months ago

3.7 on Glassdoor

San Francisco, CA

Hybrid

Full Time

Senior

0 applicants

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About this role

As a foundational engineer on Anthropic's new Review Tooling team, you will build and scale internal platforms that enable safety investigators to identify and enforce actions against harmful AI behaviors. You will design reusable APIs, data storage, and backend services while integrating AI assistants like Claude to enhance human review workflows. This role requires close collaboration with policy, legal, and data science teams to create reliable, privacy-preserving systems that directly impact model safety and societal trust.

Responsibilities

Build investigation and enforcement tooling for first-party and third-party platforms
Develop platform layer APIs and backend services for scalable review workflows
Scale review processes through automation and AI-assisted workflows
Partner with policy and legal teams to translate enforcement needs into reliable systems
Implement granular permissions, audit trails, and data-access controls for sensitive tools

Skills

Qualifications

Bachelor's degree in relevant field8+ years of software engineering experienceExperience building trust and safety toolingExperience with strict privacy and data governance constraintsExperience integrating LLMs into operational workflows

About Anthropic

anthropic.com

Company Size

51-200 employees

View Profile

Anthropic is an AI safety and research company focused on building reliable, interpretable, and steerable AI systems. It develops large language models (branded as Claude) and offers APIs and enterprise products that let organizations integrate conversational AI with safety-focused controls, moderation, and privacy features. The company prioritizes interpretability and alignment research, publishes technical work, and engages with policymakers to reduce risks from advanced AI. Customers choose Anthropic for its safety-first approach, controllability tools, and research-driven models.