Trust & Safety Engineer

📋 Description Design and ship the fraud platform that protects Lovable's payments, credits, and free tier from Build real-time detection: signals, features, scoring, and decisioning that act in milliseconds. Run a tight feedback loop with chargebacks, support, and trust & safety to label, learn, and Stand up bot defenses across signup, app generation, and publishing - without breaking legitimate Own the metrics that matter: fraud loss rate, false-positive rate, attacker time-to-defeat. 🎯 Requirements 5+ years building anti-fraud, anti-abuse, or risk systems at consumer scale (payments Strong backend engineering - Go, Python, or TypeScript - and comfort working close to the data. Experience with disrupting sophisticated fraud campaigns and attacks, knowledge of rules engines You think in adversaries: you can model an attacker, ship a counter, and measure it before they Pragmatic about precision/recall trade-offs. You protect users without punishing them. Bonus: experience with LLM-specific abuse (prompt injection at scale, generated-content fraud