How do I format an AI Red Teamer / LLM Security Engineer resume?

An AI Red Teamer resume must prioritize vulnerability discovery, adversarial testing methodologies, and deployment of security controls over generic software development. Highlight experience with OWASP LLM and Agentic Top 10, jailbreaking mitigation, sandbox containment, and prompt injection defense metrics.

What technical skills belong on an LLM Security Engineer resume?

Your technical core should highlight specialized security tooling: Garak, Promptfoo, Purple Llama, LiteLLM gateways, Microsoft Presidio (PII masking), Guardrail systems (NeMo Guardrails, LlamaGuard), Model Context Protocol (MCP) hardening, and frameworks like MITRE ATLAS or MAESTRO.

How do I measure the business impact of AI security testing on my CV?

Focus on risk mitigation and vulnerability reduction. Frame your metrics around jailbreak vectors identified, compliance benchmarks hit (like EU AI Act readiness), reduction of sensitive data leakage incidents, and the deployment of low-latency guardrails.

AI Red Teamer & LLM Security Resume Example

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AI Red Teamer and LLM Security Engineer Resume Example

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Adversarial AI Threat Modeling and Model Vulnerability Assessment Criteria

Sourcing systems scan applications for specialized vulnerability profiles. Standard software architectures are insufficient when auditing teams run queries for ai red teamer resume examples or llm security engineer cv profiles. Applications must display explicit testing patterns under the OWASP Top 10 for Large Language Models, secure API gateway integrations, and data leakage defense layers. Our specialized single-column layout ensures your cybersecurity and AI safety credentials are indexed flawlessly across enterprise portals globally.

Top Keywords for an AI Red Teamer & LLM Security Resume

Enterprise safety recruiters prioritize specialized mitigation keywords. Ensure these vital technical parameters are populated inside your resume file:

Defensive Guardrails & Isolation:

NeMo Guardrails, LlamaGuard, LiteLLM gateway, prompt sanitization, input/output filtering, sandboxing, system prompt extraction defense, PII masking (Microsoft Presidio).

Threat Modeling & Attacks:

Direct & indirect prompt injection, jailbreaking simulations, model evasion, training data poisoning mitigation, OWASP LLM and Agentic Top 10, MITRE ATLAS, MAESTRO frameworks, Garak, Promptfoo.

Copy & Paste: AI Red Teamer / LLM Security Content Blueprint

Morgan Vance

Austin, TX | [email protected] | github.com/morgan-vance-redteam

[Professional Summary]

Advanced Security Engineer specializing in offensive security, vulnerability discovery, and risk containment across generative AI networks and autonomous agent architectures. Proven expertise simulating complex adversarial attack scenarios including system-prompt leakage, training data poisoning, and indirect injection vectors. Expert at translating security audit requirements into high-performance defensive topologies using robust LLM gateways, token boundaries, and low-latency API guardrails.

[Professional Experience]

Senior AI Red Teamer / ML Security Engineer | Threat Ops Technologies, Austin, TX 08/2024 – Present

Designed and executed adversarial red-teaming simulations on internal customer-facing agent networks, identifying 14 critical jailbreak vectors and deploying NeMo Guardrails and LlamaGuard to eliminate prompt-injection vulnerabilities prior to enterprise launch.
Built an automated vulnerability scanning pipeline using Garak and Promptfoo to stress-test 12 customized LLM configurations, establishing strict input-sanitization frameworks that prevented system-prompt leakage.
Hardened Model Context Protocol (MCP) server endpoints and API layers, implementing PII masking via Microsoft Presidio to lower data exposure risks by 98% across model logging systems.

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Frequently Asked Questions

What is the core focus of an AI Red Teamer?

An AI Red Teamer systematically audits machine learning models and LLM integrations to find vulnerabilities. They deploy malicious prompt strategies, jailbreaks, and indirect injections to discover failure modes before attackers can exploit them.

What standards guide enterprise AI Security resume reviews?

Enterprise hiring managers evaluate candidates against global compliance frameworks. Resumes that clearly cite alignment with MITRE ATLAS, OWASP LLM Security Top 10, and EU AI Act safety parameters receive the highest parsing priorities.

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