Security Engineer (Fraud & AI)

TL;DR

Security Engineer (Fraud & AI): Building and operating adversarial detection systems to protect the platform from phishing, cryptomining, and LLM-specific attacks with an accent on AI-powered guardrails and automated response mechanisms. Focus on detecting prompt injection, building ML-based classifiers, and scaling anti-abuse heuristics in a production environment.

Location: Hybrid in Foster City, CA (In-office requirement: Monday, Wednesday, and Friday)

Salary: $250,000 – $315,000 + Equity

Company

hirify.global is an agentic software creation platform that enables anyone to build applications using natural language.

What you will do

• Design and implement LLM guardrails and AI-powered detection systems to identify malicious patterns and automate responses.
• Build and operate systems to combat phishing, cryptomining, account takeovers, and financial fraud across millions of user actions.
• Own the full abuse response lifecycle, including detection, investigation, enforcement, and handling appeals.
• Analyze attack patterns using BigQuery and Hex to transform investigation findings into new detection rules.
• Maintain internal detection tools and integrate security scanners (SAST, SCA) into CI pipelines with strict performance SLAs.
• Track abuse trends and adapt defenses as attack patterns evolve.

Requirements

• 8+ years of experience in security engineering, anti-abuse, trust & safety, or fraud detection.
• Strong programming skills in Python and/or TypeScript for building detection systems.
• Experience with SQL and data analysis at scale (BigQuery, Snowflake, or similar).
• Experience building or fine-tuning ML/LLM-based classifiers for security or abuse detection.
• Familiarity with prompt injection, jailbreaking, and other LLM-specific attack vectors.
• Location: Must be based in Foster City, CA, with a hybrid schedule (Monday, Wednesday, Friday in-office).

Nice to have

• Experience at a platform company dealing with user-generated content or compute abuse.
• Background in fraud detection, payment abuse, or financial crime.
• Knowledge of container security, Linux internals, or GCP infrastructure.
• Experience with CI/CD security tooling such as Snyk or Dependabot.

Culture & Benefits

• Competitive salary and equity.
• 401(k) program with a 4% match (US Only).
• Comprehensive health, dental, vision, and life insurance.
• Flexible Time Off (FTO), holidays, and paid parental/medical leave.
• Monthly wellness stipend and in-office setup reimbursement.
• Autonomous work environment with quarterly team gatherings.