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Senior AI/LLM Penetration Tester
Bishop FoxSenior AI/LLM Penetration Tester conducting security assessments of AI-powered applications. Join Bishop Fox to help clients navigate emerging AI threats through innovative testing methods.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in offensive security, particularly in penetration testing and application security assessments, with a strong focus on AI and large language model vulnerabilities. Proficient in manual application security testing, source code review, and securing AI workloads across various cloud platforms.
Highest-signal resume keywords
Offensive Security ExperiencePenetration TestingApplication Security AssessmentsAI Vulnerability AssessmentCloud Security (AWS, Azure, GCP)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Penetration TestingApplication Security TestingSource Code ReviewDynamic TestingScripting (Python, JavaScript, Go, Java)Web Application SecurityAI Vulnerability AssessmentManual TestingOWASP Top 10Security Architecture Review
Soft Skills
Excellent Communication SkillsMentoringResearch Contribution
Tools & Technologies
AWSAzureGCPLLM Application FrameworksAgent-Orchestration FrameworksOpen Source Tooling
Certifications & Qualifications
OSCPOSEPGWAPTGPENGXPN
Industry Keywords
AI SecurityLarge Language ModelsData LeakageSensitive Information DisclosureInsecure Function CallingAgentic AI AbuseModel MisuseUnsafe Output GenerationSecure Software Development PracticesNetworking and APIs
Tech Stack
Tools & technologiesAWSAzureCloudCyber SecurityGoGoogle Cloud PlatformJavaJavaScriptOpen SourcePython
About the role
Key responsibilities & impact- Conduct cutting-edge security assessments of large language models, AI agents, and AI-powered applications.
- Help clients stay ahead of emerging AI threats.
Requirements
What you’ll need- 5+ years of offensive security experience performing penetration tests, red team engagements, or application security assessments
- Experience assessing AI/LLM-powered applications for vulnerabilities such as: Prompt injection, Jailbreak techniques, Indirect prompt injection, Data leakage and sensitive information disclosure, Insecure tool/function calling, Agentic AI abuse, Model misuse and unsafe output generation, Understanding of modern AI architectures, including:
- Experience performing manual application security testing beyond automated scanning
- Strong understanding of web application security fundamentals, including the OWASP Top 10 Web, Agentic, and LLM Applications.
- Experience reviewing AI application architectures and identifying security weaknesses across APIs, cloud infrastructure, and application logic
- Experience performing source code review and dynamic testing
- Familiarity with cloud platforms (AWS, Azure, or GCP) and securing AI workloads
- Scripting or programming experience in Python, JavaScript Go, Java, or similar languages
- Familiarity with LLM application and agent-orchestration frameworks, inference provider APIs, external capability integration for models, and open source tooling across commercial and self-hosted ecosystems.
- Knowledge of authentication, authorization, networking, APIs, and secure software development practices
- Excellent written and verbal communication skills, including presenting findings to technical and executive audiences
- Ability to mentor teammates and contribute to internal research, tooling, and methodology development
- OSCP, OSEP, GWAPT, GPEN, GXPN, or other relevant certifications are helpful but not required
- Bachelor's degree in Computer Science, Cybersecurity, or a related technical field is a plus
Benefits
Comp & perks- Our comprehensive benefits program is tailored to meet your needs at an affordable price.
- We embrace diversity and foster an inclusive culture where employees are empowered to do their best work while advancing the security community through world-class research and consulting.