Trust and Safety Engineer
AI app builder that turns natural-language prompts into full-stack web applications.
Maintainer signals as of 8/14/2026
Stockholm, Sweden
About Lovable
Lovable (lovable.dev) is a Swedish AI software-builder platform: users describe an app in natural language and Lovable generates production full-stack code — one of the fastest-growing AI products.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You design and ship fraud platforms that protect payments, credits, and free-tier access. You build real-time detection signals, features, scoring, and decisioning, operate feedback loops with chargebacks and support, deploy bot defenses, and measure fraud and attacker-related metrics.
Requirements
- 5+ years of experience building anti-fraud, anti-abuse, or risk systems at consumer scale
- Backend engineering with Go, Python, or TypeScript
- Data engineering
- Fraud campaign disruption
- Rules engines
- Real-time feature stores
- Machine learning scoring
- Device fingerprinting
- Behavioral signals
- Fraud modeling
- Precision and recall trade-offs
- LLM-specific abuse experience
- Chargeback and payments fraud experience
Responsibilities
- Design and ship the fraud platform
- Protect payments, credits, and free-tier access from abuse
- Build real-time detection signals, features, scoring, and decisioning
- Run feedback loops with chargebacks, support, and trust and safety
- Label, learn, and redeploy fraud controls weekly
- Deploy bot defenses across signup, app generation, and publishing
- Track fraud loss rate, false-positive rate, and attacker time-to-defeat
