AI Security Researcher

Pentera

. Conduct deep, engineering-level application security work, including reviewing architectures, assessing code, and embedding with development teams as a technical peer throughout the development lifecycle .

Posted 9/23/2026full-timeIsraelJuniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates deep application security expertise with a focus on AI/ML systems, including vulnerability assessment and offensive security techniques. Proficient in translating security findings into actionable recommendations while collaborating effectively with development teams and enterprise customers.

Highest-signal resume keywords

Application Security ExperienceAI Security ExpertiseOffensive Security CapabilitiesAI/ML Technologies UnderstandingCode Review and Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Application SecurityVulnerability AssessmentAI SecurityOffensive Security TechniquesCode ReviewAI/ML SystemsPenetration TestingRed Team EngagementsArchitectural ReviewSecurity Recommendations

Soft Skills

Excellent CommunicationCollaboration with Development Teams

Industry Keywords

AI SecurityMachine LearningLarge Language ModelsAgentic SystemsPrompt InjectionModel ManipulationAgentic Framework ExploitsEmerging Attack SurfacesSecurity ResearchEnterprise Security

About the role

Key responsibilities & impact

Conduct deep, engineering-level application security work, including reviewing architectures, assessing code, and embedding with development teams as a technical peer throughout the development lifecycle
Lead AI-focused security assessments and red team engagements for enterprise customers
Identify vulnerabilities in AI/ML systems, agentic workflows, and LLM-based applications
Enhance traditional AppSec processes with agentic tools and AI security layers
Research and develop novel attack techniques targeting AI/ML systems, including prompt injection, model manipulation, and agentic framework exploits
Translate offensive findings into actionable security recommendations for customers and internal teams
Continuously research emerging attack surfaces and contribute to the growing body of AI threat knowledge

Requirements

What you’ll need

Deep, hands-on application security experience at an engineering level, including sitting with development teams, understanding development processes from the inside, and reviewing code and architectures as a peer
At least 1 year of dedicated, immersive work in AI security through research, experimentation, or offensive engagements targeting AI/ML systems
Offensive security capabilities with a focus on AI-specific attack vectors
Strong understanding of AI/ML technologies, including LLMs, agentic systems, and common AI application architectures
Comfortable reading and writing code, building tools, and understanding codebases
Excellent communication skills and comfort working directly with enterprise customers
Fluent English
Published research or public talks on AI security topics (nice to have)
Experience with traditional penetration testing or red teaming (nice to have)
Background in building or deploying AI/ML systems from the development side (nice to have)

Benefits

Comp & perks

Equal opportunity employer committed to building a diverse and talented workforce
Non-discrimination on the basis of race, sex, religion, colour, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, medical condition, disability, or any other class or characteristic protected by applicable law