# Software Engineer, Safeguards Foundations (Internal Tooling)

**Company**: Anthropic
**Location**: London, UK
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: £255,000 - £325,000 per year
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5191433008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_6e59ba7d-c56

## Description

We are seeking a software engineer to join our Safeguards Foundations team. As a member of this team, you will design, build, and maintain internal review and enforcement tooling used by Safeguards analysts. This includes case queues, content review surfaces, decision/audit logging, and account-actioning workflows. You will work closely with Trust & Safety operations, policy, and detection-engineering teams to turn messy operational workflows into well-designed, durable software.

Responsibilities:

- Design, build, and maintain internal review and enforcement tooling used by Safeguards analysts

- Understand user workflows and establish tooling for well processes that may be distributed across a number of tools and UIs

- Develop the 'base layer' of reusable APIs, data storage, and backend services that let new review workflows be stood up quickly and safely

- Partner with operations and policy teams to understand reviewer pain points, then translate them into clear product improvements that reduce handling time and decision error

- Integrate tooling with upstream detection systems and downstream enforcement infrastructure so that flagged behaviour flows cleanly from signal → human review → action

- Build in the guardrails that sensitive internal tools require: granular permissions, audit trails, data-access controls, and reviewer wellbeing features (e.g. content blurring, exposure limits)

- Instrument the tools you ship , surfacing metrics on queue health, reviewer throughput, and decision quality so the team can see what's working

- Contribute to the Foundations team's shared platform and on-call responsibilities

Requirements:

- 4+ years of experience as a software engineer, with meaningful time spent building internal tools, operations platforms, or back-office products

- Comfortable using agentic coding tools (e.g. Claude Code) as a core part of your workflow, and can direct them to ship well-tested, production-quality software at a high cadence without lowering the bar

- Take a product-minded approach to internal users: you work with the people using your tools, watch where they struggle, and fix it

- Results-oriented, with a bias towards flexibility and impact

- Pick up slack, even if it goes outside your job description

- Communicate clearly with non-engineering stakeholders and can explain technical trade-offs to operations and policy partners

- Care about the societal impacts of your work and want to apply your engineering skills directly to AI safety

Preferred qualifications:

- Experience building tooling in a trust & safety, content moderation, fraud, integrity, or risk-operations setting

- Experience designing case-management or workflow systems (queues, SLAs, escalation paths, audit logs)

- Experience working with sensitive data and understanding the privacy, access-control, and reviewer-wellbeing considerations that come with it

- Experience with GCP/AWS, Postgres/BigQuery, and CI/CD in a production environment

- Experience using LLMs as a building block inside operational tools (e.g. assisted triage, summarisation, or classification in the review loop)

Representative projects:

- Rebuilding the analyst review queue so cases are routed by severity and skill, with full decision history and one-click escalation

- Shipping a unified account-investigation view that pulls signals from multiple detection systems into a single, permissioned surface

- Adding content-obfuscation and exposure-tracking features to protect reviewers working with harmful material

- Building an internal labelling tool that feeds high-quality ground truth back to the detection and research teams

Salary: £255,000 - £325,000 per year

## Skills

### Required
- software engineering
- internal tools
- operations platforms
- back-office products
- agentic coding tools
- Claude Code
- product-minded approach
- communication
- technical trade-offs

### Nice to have
- trust & safety
- content moderation
- fraud
- integrity
- risk-operations
- GCP/AWS
- Postgres/BigQuery
- CI/CD
- LLMs
- assisted triage
- summarisation
- classification

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/anthropic/jobs/5191433008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)