The job, in the employer's words
About the Role
Abnormal AI is looking for an Application Security Engineer II to secure the AI-powered systems at the core of our AWS-based platform (LLM-integrated features, agentic workflows, MCP connectors, and the model supply chain) against threats like prompt injection at production scale. This is an individual contributor role that blends deep application security expertise with strong engineering fundamentals. You'll focus on integrating security into every phase of our software development lifecycle, conducting comprehensive security reviews, and partnering with engineering teams to build defensible architectures.
You will own the security architecture and development of secure coding practices while ensuring security is a foundational partner to our engineering stakeholders. You'll coach developers across the engineering organization on application security principles, act as a technical liaison across teams, and contribute directly to keeping our applications and customers secure. This role reports to the Director of Security Engineering.
What you will do
- Lead threat modeling and security architecture reviews with engineering teams by translating security risks into concrete development actions, with particular focus on AI-powered features (LLM integrations, agentic workflows, MCP connectors).
- Architect, build, and maintain security tooling and integrations that make secure development the default in our CI/CD pipelines.
- Design and deploy automated security testing to identify vulnerabilities early in the development process.
- Serve as a hands-on technical contributor during security incidents by analyzing application-level behavior and enhancing response processes.
- Coach developers on secure coding, security architecture, and threat modeling for AI-native systems.
- Define and track key security posture metrics, building dashboards or reports to visualize security coverage and vulnerability trends.
Must Haves
- 5+ years of experience in application security engineering roles, ideally securing AWS or comparable cloud-native environments with modern development practices.
- Experience securing AI/ML-powered systems, or a clear ability to ramp fast on prompt injection, model supply chain, and agentic-workflow risks.
- Strong programming skills in Python, Go, Java, or JavaScript/TypeScript. You write and read production code, not just review it.
- Expertise in web application security including OWASP Top 10, authentication/authorization, cryptography, and secure API design, including securing modern architectures (microservices, containers, cloud-native).
- Hands-on experience threat modeling and running security architecture reviews.
- Proven ability to influence and collaborate cross-functionally with engineering, DevOps, and product teams, with strong written communication.
Nice to Have
- Experience working in fast-paced or startup environments, comfortable defining scope in a growing security program.
- Hands-on experience with commercial security tools (Veracode, Checkmarx, SonarQube, Wiz, Semgrep, Burp Suite)
- Prior experience building security telemetry pipelines or vulnerability management frameworks.
- Exposure to compliance frameworks (SOC 2, ISO 27001) and how development decisions affect auditability.
- Familiarity with bug bounty programs and vulnerability disclosure processes.
#LI-PP1
Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location.
In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.
A note on AI in our process:
Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore.They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards.
Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.
Requirements mentioned
- 5+ years of experience in application security engineering roles, ideally securing AWS or comparable cloud-native environments with modern development practices.
- Experience securing AI/ML-powered systems, or a clear ability to ramp fast on prompt injection, model supply chain, and agentic-workflow risks.
- Strong programming skills in Python, Go, Java, or JavaScript/TypeScript. You write and read production code, not just review it.
- Expertise in web application security including OWASP Top 10, authentication/authorization, cryptography, and secure API design, including securing modern architectures (microservices, containers, cloud-native).
- Hands-on experience threat modeling and running security architecture reviews.
- Proven ability to influence and collaborate cross-functionally with engineering, DevOps, and product teams, with strong written communication.
- Experience working in fast-paced or startup environments, comfortable defining scope in a growing security program.
- Hands-on experience with commercial security tools (Veracode, Checkmarx, SonarQube, Wiz, Semgrep, Burp Suite)
- Prior experience building security telemetry pipelines or vulnerability management frameworks.
- Exposure to compliance frameworks (SOC 2, ISO 27001) and how development decisions affect auditability.
- Familiarity with bug bounty programs and vulnerability disclosure processes.
- #LI-PP1
No Mondays shows this listing as the employer published it. Check the details on the employer's site before you apply.