# Red Team Engineer, Safeguards

**Company:** [Anthropic](https://hotfix.jobs/companies/anthropic)
**Location:** Remote
**Role:** Security Engineering
**Salary:** $320k – $405k/yr
**Experience:** 5+ years
**Skills:** Penetration Testing, Red Teaming, Application Security, Model Jailbreaking, Prompt Injection, Burp Suite, Metasploit, Web Application Security, Llm Testing Frameworks, Adversarial Machine Learning, Api Security, Distributed Systems Security
**Posted:** 2026-07-10

> Red Team Engineer on Anthropic's Safeguards team performing adversarial testing and full kill-chain attacks on AI products to uncover vulnerabilities, jailbreaks, and novel abuse vectors before malicious exploitation. Requires strong pen-testing, red teaming, and LLM-specific security experience.

## Job Description

## Key Responsibilities
- Conduct comprehensive adversarial testing across Anthropic's product surfaces, developing creative attack scenarios that combine multiple exploitation techniques.
- Research and implement novel testing approaches for emerging capabilities, including agent systems, tool use, and new interaction paradigms.
- Design and execute "full kill chain" attacks that emulate real-world threat actors attempting to achieve specific malicious objectives.
- Build and maintain systematic testing methodologies that evaluate every aspect of our systems.
- Develop automated testing frameworks to enable continuous assessment at scale.
- Collaborate with Product, Engineering, and Policy teams to translate findings into concrete improvements.
- Help establish metrics for measuring detection effectiveness of novel abuse.

## Minimum Qualifications
- Experience in penetration testing, red teaming, or application security.
- Experience in model jailbreaking and testing large-scale agentic workflows for non-obvious prompt injection vectors.
- Strong technical skills in web application security, including hands-on expertise with security testing tools (e.g., Burp Suite, Metasploit, custom scripting frameworks).
- Experience building custom automation, including LLM-specific testing frameworks.
- A track record of discovering novel attack vectors and chaining vulnerabilities in creative ways.
- A public body of work such as CVEs, blog posts, or disclosed bug bounty reports.
- Strong written and verbal communication skills, with the ability to explain technical concepts to varied audiences.

## Preferred Qualifications
- Experience with AI/ML security or adversarial machine learning.
- Understanding of AI safety considerations beyond traditional security, including modern guardrails against jailbreaks.
- Experience testing API security and rate-limiting systems.
- Background in testing business logic vulnerabilities and authorization bypass techniques.
- Background in anti-fraud, trust & safety, or abuse prevention systems.
- Familiarity with distributed systems and infrastructure security.
- Familiarity with abuse detection mechanisms and the ability to engineer novel bypasses.
- Adaptability to understand and build engagements around emerging threats outside your direct area of expertise.

## Compensation
Annual Salary: $320,000—$405,000 USD

## Education
- 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.

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