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[Remote] AI Red Team Engineer

Remote · Nigeria Full-time

Note: The job is a remote job and is open to candidates in USA. Confidential is seeking a skilled Red Team Security Engineer to join their SOC team. The role involves simulating real-world adversary tactics to validate detection and response capabilities while conducting research into AI/LLM security risks.

Responsibilities

  • Design and execute end-to-end red team operations covering the full attack chain: reconnaissance, initial access, lateral movement, privilege escalation, and data exfiltration
  • Replicate APT group TTPs (e.g., Lazarus, APT41) to validate detection and incident response capabilities
  • Develop and maintain custom offensive tools, C2 frameworks, and evasion techniques to simulate advanced threats
  • Participate in BAS (Breach and Attack Simulation) playbook design and execution across Windows, macOS, and Linux platforms
  • Research AI/LLM attack surfaces: Prompt Injection, model poisoning, adversarial examples, training data contamination, and AI Agent security risks
  • Evaluate security risks in AI/LLM applications (RAG, MCP, Tool Use, Agentic workflows) and provide red team findings
  • Track AI security research (MITRE ATLAS, OWASP LLM Top 10) and produce internal threat intelligence
  • Collaborate with the blue team to translate red team findings into detection rules and defensive hardening
  • Produce high-quality red team reports with actionable remediation recommendations

Skills

  • 3+ years of hands-on penetration testing or red team experience
  • Proficiency with at least one mainstream C2 framework (Cobalt Strike, Sliver, Havoc, etc.)
  • Strong vulnerability exploitation fundamentals: web (OWASP Top 10), internal network (AD attack chains), cloud environments
  • Familiar with MITRE ATT&CK framework; able to map TTPs and design corresponding attack scenarios
  • Scripting/tooling development skills (Python, Go, or PowerShell)
  • Holds at least one major red team certification: OSCP, CRTO, CRTE (preferred)
  • (AI Security) Understanding of LLM application architectures (RAG, Agent, MCP, Tool Use) and ability to identify attack surfaces
  • (AI Security) Hands-on research or PoC experience with Prompt Injection, jailbreaking, or model extraction attacks
  • (AI Security) Familiar with MITRE ATLAS framework and AI/ML threat classification
  • (Bonus) Web3 / blockchain security background (smart contract audits, on-chain attack analysis)
  • (Bonus) CTF experience (DEFCON CTF, GeekCon, etc.) or published vulnerability research (CVE, conference talks, technical blog)

Company Overview

  • This page is owned and operated by Viral Audience. It was founded in undefined, and is headquartered in Silicon Valley, California US, US, with a workforce of 51-200 employees. Its website is .
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