Senior Offensive Security Engineer - Web & AI Systems

FocusKPI Inc. • Mountain View, CA

4d • $85 - $100 • Onsite

About The Position

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

Team is looking for a Senior Offensive Security Engineer to proactively identify, exploit, and help eliminate security weaknesses across their web platforms and AI/ML systems. In this role, you will think like an attacker, operate with engineering rigor, and work closely with product, platform, and AI teams to raise the security bar across the organization. You will lead complex penetration tests, design novel attack techniques for web and modern AI-powered applications, and influence secure-by-design architecture at scale.
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
Thank you!
FocusKPI Hiring Team
Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California, with an East Coast office in Boston, Massachusetts.
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Requirements

• Master’s degree in Computer Science, Computer Engineering, Information Security, or a closely related technical field.
• 5+ years of experience in offensive security, penetration testing, or red teaming.
• Deep expertise in web application security.
• Strong understanding of API security.
• 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
• 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.

Nice To Haves

• A doctorate (PhD) in a relevant field is a plus but not required.
• 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.

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.

What This Job Offers

• Career Level: Mid Level
• Number of Employees: 51-100 employees