AI Red Team Security Engineer

Jobgether • United States

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Design and execute adversarial testing against LLMs, AI agents, and ML systems to identify vulnerabilities. Conduct full-scope penetration testing across web, API, cloud, and internal environments. Leverage AI-augmented tools and MITRE ATT&CK frameworks to simulate advanced threats and improve system resilience.

Key Highlights

Intersection of offensive security and AI

Testing LLM-powered products and RAG pipelines

Full-scope penetration testing across multiple environments

AI-augmented tooling for reconnaissance and exploit development

Fast-moving, research-driven, collaborative environment

Key Responsibilities

Design and execute adversarial testing against LLMs, AI agents, and ML systems, including prompt injection, jailbreaks, model extraction, and RAG exploitation scenarios

Conduct full-scope penetration testing across web, API, mobile, cloud (AWS/GCP/Azure), Kubernetes, and internal enterprise environments

Simulate advanced persistent threat (APT) campaigns using MITRE ATT&CK frameworks and realistic attack chains

Identify and exploit vulnerabilities such as authentication bypasses, SSRF, IDOR, injection flaws, and cloud misconfigurations

Develop and use AI-augmented tools to enhance reconnaissance, payload generation, fuzzing, and exploit development

Assess AI safety mechanisms, guardrails, and moderation layers for bypass techniques and failure modes

Perform security evaluations of agentic workflows, including privilege escalation and unsafe tool execution paths

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Technical Skills Required

penetration testing red teaming AI/ML system testing prompt injection jailbreaks model extraction RAG exploitation MITRE ATT&CK frameworks authentication bypass SSRF IDOR injection flaws cloud misconfigurations Docker Kubernetes container security LLM architectures OWASP LLM Top 10 scripting tool automation AI safety mechanisms guardrails moderation layers agentic workflows privilege escalation unsafe tool execution

Benefits & Perks

Competitive base salary range: $152,000 - $269,000

Eligibility for additional bonus and equity compensation packages

Fully remote or flexible work arrangements

Comprehensive healthcare and wellness benefits (medical, dental, vision)

Opportunity to work at the forefront of AI security and adversarial research

Supportive environment for professional development, certifications, and research contributions

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Nice to Have

Contributions to open-source security tools

CVEs

Bug bounty programs

AI security research

Job Description

This role sits at the intersection of offensive security and artificial intelligence, focusing on identifying and exploiting vulnerabilities across modern AI-driven systems and traditional infrastructure.You will simulate real-world adversaries to uncover weaknesses in web applications, APIs, cloud environments, and internal networks before malicious actors can exploit them.A major part of the mission involves testing LLM-powered products, AI agents, and RAG pipelines for prompt injection, data leakage, and unsafe tool use.You will leverage both classical penetration testing techniques and AI-augmented tooling to accelerate discovery and develop novel attack strategies.

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