# Trust & Safety Engineer

**Company:** [Lovable](https://hotfix.jobs/companies/lovable)
**Location:** Stockholm, Sweden
**Role:** Security Engineering
**Experience:** 5+ years
**Skills:** Go, Python, TypeScript, Rules Engines, Feature Stores, Machine Learning, Device Fingerprinting, Behavioral Signals, Bot Detection, Fraud Detection, Chargebacks, Payments Fraud, Prompt Injection
**Posted:** 2026-08-03

> Builds adaptive anti-fraud, anti-abuse, and bot-defense systems protecting payments, credits, and platform activity. The role requires 5+ years of consumer-scale risk experience, strong backend engineering, real-time detection expertise, and adversarial thinking.

## Job Description

## Requirements
- 5+ years building anti-fraud, anti-abuse, or risk systems at consumer scale in payments, marketplaces, fintech, or large social platforms.
- Strong backend engineering skills with **Go**, **Python**, or **TypeScript**, and comfort working close to data.
- Experience disrupting sophisticated fraud campaigns and attacks.
- Knowledge of rules engines, real-time feature stores, ML scoring, device fingerprinting, and behavioral signals.
- Ability to model attackers, ship countermeasures, and measure their effectiveness before attackers adapt.
- Pragmatic understanding of precision/recall trade-offs to protect users without excessively penalizing legitimate activity.

## Responsibilities
- Design and ship the fraud platform protecting Lovable’s payments, credits, and free tier from abuse.
- Build real-time detection systems using signals, features, scoring, and decisioning that act in milliseconds.
- Run feedback loops with chargebacks, support, and trust and safety to label data, learn, and redeploy weekly.
- Establish bot defenses across signup, app generation, and publishing without disrupting legitimate users.
- Own key metrics including fraud loss rate, false-positive rate, and attacker time-to-defeat.

## Nice-to-Haves
- Experience with LLM-specific abuse, including prompt injection at scale, generated-content fraud, or credit farming.
- Experience with chargeback and payments fraud at the scale of Stripe, Adyen, or Braintree.

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**Canonical:** https://hotfix.jobs/jobs/27c5007c-8269-4ef4-96e2-a8cc9daf6a6a