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Anthropic· Safeguards (Trust & Safety) · London, UK

Software Engineer, Safeguards Infrastructure

Classified Tasks (14)

Automate 0%Augment 86%Human-Only 14%

Augment (12)

AI assists, human decides

Build foundational pieces for safety, oversight, and intervention mechanisms of AI systems

technical

Monitor models for unwanted behaviors and performance issues

operational

Prevent misuse of models through technical controls and interventions

technical

Build systems to detect unwanted model behaviors in production

technical

Build systems to prevent disallowed use of models

technical

Develop infrastructure for data storage and management for Safeguards

technical

Develop metric and evaluation systems to measure Safeguards performance

analytical

Develop tooling for human and agentic review of model outputs and incidents

technical

Operate and ensure the day-to-day running of Safeguards systems

operational

Reduce the amount of human intervention and oversight required by automating Safeguards processes

technical

Build robust, reliable multi-layered defenses for real-time improvement of safety mechanisms at scale

technical

Apply technical solutions to implement safety, transparency, and oversight mechanisms

technical

Human-Only (2)

Requires human judgment

Implement measures to ensure user well-being in model interactions

operational

Maintain a high operational bar that serves both safety and customer needs

leadership

Job description

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for software engineers to help build the foundational pieces for safety, oversight and intervention mechanisms of our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight. Responsibilities: Develop the foundational systems which power Safeguards, including infrastructure for data storage and management, metric and evaluation systems, and tooling for human and agentic review. Ensure the day-to-day running of Safeguards systems and hold a high operational bar which serves both safety and customers while reducing the amount of human intervention and oversight required. Build robust and reliable multi-layered defenses for real-time improvement of safety mechanisms that work at scale You may be a good fit if you have: Bachelor’s degree in Computer Science, Software Engineering or comparable experience 4-10+ years of experience in a software engineering position Proficiency in Python Ability to work across the stack Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: Have experience building trust and safety, anti-spam, fraud or abuse detection and mitigation mechanisms and interventions for AI/ML systems Have experience building metrics and measurement systems or data and privacy management systems Have worked closely with operational teams to build custom internal tooling Be proficient in TypeScript or Rust Have experience with Claude Code or similar agentic coding tools Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £255,000 — £325,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we ma
Source: Anthropic careers · scraped 2026-05-22
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