🛠 Tech Stack

💼 About This Role

You'll build detection systems and automated responses to protect Replit's platform from abuse, working on AI-native security problems like guardrails for generated code and prompt injection detection at scale. You'll own the full abuse lifecycle, from identifying emerging patterns to shipping defenses. This role uniquely combines hands-on AI application with adversarial security work in production.

🎯 What You'll Do

• Design and implement LLM guardrails for abuse detection
• Build AI-powered detection systems using LLMs
• Operate abuse detection for phishing, cryptomining, fraud
• Analyze attack patterns with BigQuery and Hex
• Maintain internal detection tools like Slurper and Netwatch

📋 Requirements

• 8+ years in security engineering, anti-abuse, or fraud detection
• Strong programming in Python and/or TypeScript
• Experience with SQL and data analysis at scale (BigQuery, Snowflake)
• Experience building ML/LLM-based classifiers for security or abuse
• Familiarity with prompt injection and jailbreaking

✨ Nice to Have

• Experience at a platform company with user-generated content or compute abuse
• Background in fraud detection or financial crime
• Familiarity with device fingerprinting, IP reputation, email validation
• CI/CD security tooling (SAST, SCA, Dependabot, Snyk)

🎁 Benefits & Perks

• 💰 Competitive Salary & Equity
• 📈 401(k) Program with 4% match (US Only)
• ⚕️ Health, Dental, Vision and Life Insurance
• 🚼 Paid Parental, Medical, Caregiver Leave
• 🏝️ Flexible Time Off (FTO) + Holidays

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Technical interview· 60 min
3. 3On-site interviews· 4 hours