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ActiveFence

AI Red Team – GenAI Adversarial Evaluation

ActiveFence

. Create novel adversarial attacks.

Posted 10/11/2026full-timeRamat Gan • IsraelMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in creating and testing novel adversarial attacks while ensuring model robustness and defensive capabilities. Proficient in analyzing attack patterns and communicating findings effectively across teams.

Highest-signal resume keywords
Adversarial Attack DevelopmentRed Teaming ExperiencePython ProgrammingAI Security KnowledgeOffensive Cybersecurity Certifications

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Adversarial TestingCybersecurityData AnalysisAutomation SkillsModel Vulnerability IdentificationBenchmark DevelopmentRegression TestingAttack Pattern RecognitionScalable System DevelopmentPrompt Injection Understanding
Soft Skills
Creative Problem-SolvingClear Communication
Certifications & Qualifications
OSWAOSWEOSCE3SEC542SEC522
Industry Keywords
CybersecuritySecurity ResearchData ScienceComputer EngineeringComputer Science

Tech Stack

Tools & technologies
Cyber SecurityPython

About the role

Key responsibilities & impact
  • Create novel adversarial attacks.
  • Help build scalable systems to generate and test attacks at large scale.
  • Review attack quality, effectiveness, novelty, and reproducibility.
  • Identify new attack patterns and model vulnerabilities.
  • Develop adversarial datasets, benchmarks, and regression tests.
  • Share findings, techniques, and structured attack data with the Data Science, Security, and Engineering teams.
  • Help improve model robustness and defensive capabilities.

Requirements

What you’ll need
  • 3+ years of professional experience in cybersecurity, security research, red teaming, or a related security field.
  • Bachelor’s degree in Data Science, Computer Engineering, Computer Science, or a closely related technical field.
  • Strong understanding of LLMs, prompt injection, and AI security.
  • Experience with red teaming, security research, or adversarial testing.
  • Strong Python and automation skills.
  • Creative problem-solving and ability to develop new attack techniques.
  • Ability to analyze results and communicate findings clearly.
  • Certifications in offensive cybersecurity (e.g., OSWA, OSWE, OSCE3, SEC542, SEC522) are preferred.