Trust & Safety Engineer

The role

You will build adaptive systems to stop monetary fraud, platform abuse, and bot attacks. You will design a fraud platform to protect payments, credits, and the free tier.

What you will do

• Design and ship the fraud platform that protects payments, credits, and free tier from abuse
• Build real-time detection including signals, features, scoring, and decisioning
• Run a feedback loop with chargebacks, support, and trust & safety to label, learn, and re-deploy weekly
• Stand up bot defenses across signup, app generation, and publishing
• Own metrics including fraud loss rate, false-positive rate, and attacker time-to-defeat

Required qualifications

• 5+ years building anti-fraud, anti-abuse, or risk systems at consumer scale
• Strong backend engineering in Go, Python, or TypeScript
• Comfort working close to the data
• Experience with disrupting sophisticated fraud campaigns and attacks
• Knowledge of rules engines, real-time feature stores, ML scoring, device fingerprinting, and behavioral signals
• Ability to model an attacker, ship a counter, and measure it before they adapt
• Pragmatic about precision/recall trade-offs

Nice to have

• experience with LLM-specific abuse (prompt injection at scale, generated-content fraud, credit farming)
• experience with chargeback and payments fraud at a Stripe/Adyen/Braintree-scale merchant

Before you apply

• Please submit your application in English

About the company

Lovable is a software creation platform that allows people to turn ideas into software. It is a generational company based in Stockholm with teams in London, Boston, New York, and San Francisco.