AI Jailbreak & Prompt-Injection Security Expert

Stack

Responsibilities

• ▹Design and implement advanced methodologies for evaluating AI system safety, focusing on ethical jailbreaks, LLM red teaming, prompt injection, and tool-use abuse scenarios
• ▹Create comprehensive cross-domain elicitation strategies to uncover multi-turn and complex adversarial bypass patterns in AI models
• ▹Develop, maintain, and update regression test suites that systematically test for jailbreak susceptibility and prompt-injection vulnerabilities
• ▹Construct robust evaluation frameworks that stress-test AI models against real-world adversarial threats, aiming to enhance overall system robustness
• ▹Collaborate with technical stakeholders to translate security findings into actionable improvements for model safety and risk mitigation
• ▹Document methodologies, findings, and best practices in clear, well-structured written reports and presentations for both technical and non-technical audiences

Requirements

• ▹2+ years of expertise in adversarial machine learning, LLM red teaming, AI safety evaluation, or a closely related security domain
• ▹Proven experience researching, testing, or uncovering vulnerabilities related to ethical jailbreaks, prompt injection, tool-use abuse, or adversarial AI attacks
• ▹High credibility and recognition within the AI security or adversarial ML community, such as published research, open-source tools, or conference presentations
• ▹Exceptional written and verbal communication skills, with a strong focus on clear documentation and collaborative problem-solving

Nice to have

• ▹Advanced degree (PhD, MS) in computer science, cybersecurity, machine learning, or a relevant discipline, or equivalent operational/professional background
• ▹Prior participation in multi-disciplinary projects or cross-functional AI safety initiatives
• ▹Familiarity with current LLM architectures, prompt engineering techniques, and security assessment tools

Soft skills