Application Security Engineer
Posted Updated
Description
- 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
- 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
Benefits
- Healthcare
- Flexible PTO
- 401k
- One Medical
- Flexible Spending Account
- Mental Health Resources
- Home Office Stipend
- Monthly Internet & Phone Stipend
- Health and Wellness Stipend
- 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)
- 5+ years of experience in application security engineering roles, ideally securing AWS or comparable cloud-native environments with modern development practices
- Proven ability to influence and collaborate cross-functionally with engineering, DevOps, and product teams, with strong written communication
- Hands-on experience threat modeling and running security architecture reviews
- 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)
- Exposure to compliance frameworks (SOC 2, ISO 27001) and how development decisions affect auditability
- Prior experience building security telemetry pipelines or vulnerability management frameworks
- Familiarity with bug bounty programs and vulnerability disclosure processes
- 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
- We review every submission and typically respond within two weeks
