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Senior Offensive Security Engineer - Web & AI Systems

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: FocusKPI, Inc.
Contract position
Listed on 2026-01-14
Job specializations:
  • IT/Tech
    Cybersecurity, AI Engineer
Salary/Wage Range or Industry Benchmark: 85 - 100 USD Hourly USD 85.00 100.00 HOUR
Job Description & How to Apply Below

Focus

KPI is seeking a Senior Offensive Security Engineer (Web & AI systems) to join one of our clients, a high-tech SaaS company.

Work Location: Mountain View, CA (Onsite role, 4 days/week onsite)
Duration: 12-month contract with potential to convert depending on the candidate's performance
Pay Range: $85 - 100/hr

No C2C resumes are considered

Position Responsibilities
  • Conduct offensive security assessments on large-scale web applications, REST APIs, and cloud-backed services.
  • Identify and validate vulnerabilities, including injection flaws, access control issues, authentication/authorization weaknesses, SSRF, deserialization, and logic bugs.
  • Evaluate LLM-based systems and AI agents for prompt injection, data exfiltration, model abuse, and jailbreaks.
  • Design and execute red‑team‑style engagements that simulate real‑world adversaries.
  • Develop custom exploitation tools, PoCs, and fuzzers for web and AI attack surfaces.
  • Identify systemic security weaknesses and collaborate with engineering teams to drive long‑term mitigations.
  • Review architectures and designs for new products from an attacker’s perspective.
  • Produce clear, actionable security reports and present findings to technical and executive stakeholders.
Required Qualifications
  • Master’s degree in Computer Science, Computer Engineering, Information Security, or a closely related technical field.
  • A doctorate (PhD) in a relevant field is a plus, but not required.
  • 5+ years of experience in offensive security, penetration testing, or red teaming.
  • Deep expertise in web application security
    .
  • Strong understanding of API security
    .
  • Vulnerability findings:
    Identifying and prioritizing vulnerabilities across a network of 1,000+ devices to support risk management efforts and conducting regular vulnerability assessments to detect and address security weaknesses in various systems and applications.
  • Hands‑on experience testing AI/ML or LLM‑based systems
    , or strong motivation with demonstrated research in this area.
  • Proficiency in at least one scripting or programming language (
    Python, Go, JavaScript, or similar
    ).
  • Strong knowledge of common exploitation techniques and attacker tooling
    .
Preferred Qualifications
  • Prior work on adversarial ML, red‑teaming AI systems, or secure LLM pipeline design.
  • Experience with cloud security (AWS, GCP, Azure) and containerized environments.
  • Background in security research, published CVEs, CTF experience, blog posts, or conference talks.
  • OSCP, OSEP, OSWE, CRTO, or similar.
What team is looking for
  • An attacker‑first mindset with strong engineering discipline.
  • Ability to go beyond scanners and find novel, high‑impact vulnerabilities.
  • Clear communicator who can translate complex exploits into actionable fixes.
  • Curiosity about emerging threats, especially in AI security
    .
  • Ownership mentality and comfort operating in ambiguous problem spaces.

Thank you!

Focus

KPI Hiring Team

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Position Requirements
10+ Years work experience
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