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Abnormal

Application Security Engineer II

Remote - USA (Remote)From $187kfull-timemidAdded 6 days ago

About this role

Abnormal AI seeks an Application Security Engineer II to secure AI-powered systems and LLM-integrated features on their AWS platform. You'll lead threat modeling, build security tooling for CI/CD pipelines, and coach engineering teams on secure development practices with a focus on AI-native architecture risks.

What you'll do

  • Lead threat modeling and security architecture reviews for AI-powered features including LLM integrations and agentic workflows
  • Design and deploy automated security testing and tooling within CI/CD pipelines
  • Serve as hands-on technical contributor during security incidents and response
  • Coach developers across the organization on secure coding and threat modeling for AI systems
  • Define security posture metrics and build dashboards to track vulnerability trends
  • Partner with engineering teams to translate security risks into concrete development actions

What they're looking for

  • Application security engineering (5+ years)
  • AWS cloud-native security
  • Python, Go, Java, or JavaScript/TypeScript programming
  • OWASP Top 10 and web application security
  • Threat modeling and security architecture reviews
  • AI/ML security and prompt injection mitigation
  • Microservices and container security
  • Cross-functional collaboration and technical communication

Benefits

  • Remote work (USA)
  • Bonus or incentive compensation eligible
  • Equity eligibility
  • Comprehensive benefits package
  • Opportunity to shape growing security program
  • Work with cutting-edge AI security challenges
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Abnormal

Abnormal builds AI-powered email security solutions that protect against threats through narrative-driven threat understanding, SMTP relay infrastructure, and advanced filtering capabilities. The company is hiring software engineers, infrastructure engineers, sales engineers, and technical support specialists to expand its platform and support enterprise customers.

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Likely interview questions

  • Walk us through your experience securing AI/ML-powered systems—what were the most critical prompt injection or model supply chain risks you addressed?
  • Describe a threat modeling exercise you led with an engineering team. How did you translate security risks into actionable development tasks?
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