Identity Security Engineer II: Fraud Detection

Abnormal AI, Inc.; San Francisco (CA); On-site; USD 149,000 - 215,000; Full time

Job summary

Abnormal AI, Inc. is building an identity security product to detect fraudulent employee identities and insider threats.

You will craft systems that scrutinize candidate data, including resumes, IPs, and metadata, to spot suspicious patterns and prevent unauthorized access. You will develop correlation engines and high-availability pipelines, ingest signals from ATS and risk intel, and ship real-time guardrails to stop infiltrators before onboarding.

Qualifications

• 2+ years building software applications.
• Experience productionizing large-scale, data-intensive systems.
• High velocity and creativity in solving technical challenges related to fraud detection and pattern matching.
• Experience & desire to adopt & improve AI-native development workflows
• Strong debugging skills with logs, metrics, and behavioral signals.
• Ability to translate complex security and business requirements into high-quality software.
• Ability to independently solve complex problems and work cross-functionally.
• BS in CS/SE/IS or a related field.

Responsibilities

• Build identity verification and fraud detection systems to scrutinize candidate data during the application process.
• Develop sophisticated correlation engines that match candidate details against indicators of fraudulent activity.
• Create high-availability pipelines that ingest and analyze signals from ATS, identity providers, and risk intelligence.
• Ship automated guardrails that flag high-risk candidates in real-time for security review.
• Prototype quickly, test fraud detection assumptions, learn from threat patterns, and scale simple solutions.
• Collaborate across security, platform, and data teams; write and review technical designs; participate in SDLC rituals.

Skills

Software development

Fraud detection

AI-native development

Debugging & monitoring

Cross-functional collaboration

Education

BS in CS/SE/IS

Tools

Go

Python

Job description

Abnormal AI, Inc. is building an identity security product to detect fraudulent employee identities and insider threats.

You will craft systems that scrutinize candidate data, including resumes, IPs, and metadata, to spot suspicious patterns and prevent unauthorized access. You will develop correlation engines and high-availability pipelines, ingest signals from ATS and risk intel, and ship real-time guardrails to stop infiltrators before onboarding.