Senior AI/LLM Penetration Tester

For more than two decades, Bishop Fox has defined the forefront of offensive security. By combining elite human expertise with the power of its proprietary Cosmos AI engine, the firm delivers industry-leading cloud and application security services, including AI-powered penetration testing and AI/LLM security assessments that reflect real-world attacker behavior. Renowned for its innovation and contributions to the open-source community through flagship tools like Sliver and AIMap , Bishop Fox has released 25+ tools and 75+ advisories in the last 10 years.

As a trusted partner to the world’s most recognizable brands, Bishop Fox protects 26 of the Fortune 100, eight of the top 10 global tech companies, all of the top five global media companies, 10 of the top 20 retailers and 7 of the top 10 manufacturers. A consistent market leader, Bishop Fox has been recognized as a Leader and "Fast Mover" in the GigaOm Radar for Attack Surface Management for five consecutive years. With a 70 NPS rating, the firm remains the trusted partner for organizations seeking to stay ahead of the evolving threat landscape.

com. We are now hiring a Senior AI/LLM Security Consultant to help clients stay ahead of emerging AI threats by conducting cutting-edge security assessments of large language models, AI agents, and AI-powered applications.

Who You Are

and

What You’Ll Do

Our wants are simple: be good at—and most importantly—love what you do.

What We'Re Looking For

: 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.