Software Engineer, Safeguards Infrastructure
Anthropic - London, UK
Posted Jan 21, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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Schedule
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- Weekend work
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Application
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- Deadline
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Where they hire
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About this role
Software Engineer, Safeguards Infrastructure London, UK 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
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