AI Red Team Security Engineer

6 hours, 32 minutes ago
Full-time
Senior
Artificial Intelligence and Machine Learning
Ethos Solutions

Ethos Solutions

Ethos Solutions is a Technical Professional Services organization specializing in Salesforce Development and Custom Application Development. With over eight years of experience as a certified Salesforce Silver consulting partner, Ethos offers services ...

Professional Services
1-10
Founded 2006

Description

  • Design and execute adversarial attacks against LLM-powered products, including prompt injection, jailbreaking, goal hijacking, and context manipulation.
  • Test retrieval-augmented generation (RAG) pipelines for data exfiltration, poisoning, and unauthorized knowledge extraction.
  • Assess AI agent systems and agentic workflows for unsafe tool use, privilege escalation, and indirect prompt injection.
  • Conduct model extraction, membership inference, and adversarial example attacks against deployed ML models.
  • Evaluate AI guardrails, safety filters, and content moderation layers for bypass techniques.
  • Perform full-scope penetration tests across web applications, APIs, mobile apps, cloud environments, and internal networks.
  • Conduct red team exercises simulating advanced persistent threat actors using MITRE ATT&CK and AI-augmented techniques.
  • Exploit common and advanced vulnerabilities such as SSRF, IDOR, XXE, SSTI, authentication bypasses, and logic flaws.
  • Perform social engineering and phishing simulations as part of combined red team campaigns.
  • Build or adapt AI-powered reconnaissance, exploitation, and evasion tooling for internal red team use.

Requirements

  • 7+ years of hands-on penetration testing and offensive security experience in a professional setting.
  • Demonstrated experience testing AI/ML systems, LLM-powered products, or AI APIs.
  • Experience conducting red team engagements.
  • Scripting and tool development experience.
  • Strong understanding of authentication protocols and common implementation flaws.
  • Familiarity with cloud security architectures and common misconfigurations.
  • Working knowledge of Docker/Kubernetes and container security.
  • Understanding of LLM architectures and how they relate to attack surfaces.
  • Familiarity with the OWASP LLM Top 10.
  • Practical experience with prompt injection and jailbreak techniques against LLMs.
  • Ability to use LLMs as force multipliers in red team workflows.
  • Certifications such as OSCP, OSEP, CRTO, CRTE, PNPT, CEH, GPEN, or GWAPT are preferred.
  • Experience with adversarial ML frameworks is preferred.
  • Contributions to open-source security tooling or published CVEs / bug bounty hall-of-fame credits are preferred.
  • Familiarity with AI governance frameworks is preferred.
  • Experience with GenAI infrastructure is preferred.
  • Background in threat modeling for AI-powered applications is preferred.
  • Reverse engineering skills for binary and mobile assessments are preferred.
  • CTF participation or competitive hacking experience is preferred.

Benefits

  • Remote work is available for this role.
  • Base salary range is $152,000 to $269,000 annually.
  • Compensation may also include bonus, equity, and benefits.
  • Access to Ethos’s US benefits program.
  • Commitment to an inclusive and diverse workplace.
  • Consideration of qualified applicants with arrest and conviction records under the SF Fair Chance Ordinance.

Interested in this position?

Apply directly on the company website

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