Trust & Safety Engineer

Lovable is hiring a Trust & Safety Engineer in Stockholm, Sweden. Level rates it ; you can apply on Lovable.

Level's read on this job

On Level's scale, this role is Uses AI ●●○○: an ordinary role that requires AI tools.
The posting mentions Go, Python and TypeScript among its tools and skills.
Level classes it as a senior role.
Lovable has 80 other open roles on Level.

AI in this role

Trust & Safety Engineer to build adaptive anti-fraud and abuse detection systems handling real-time features and scoring.

gopythontypescript

trust-and-safetyanti-fraudbackend-engineeringrisk-systemsmachine-learning

TL;DR Millions of people build on Lovable every month. A small fraction try to abuse it. You'll build the adaptive systems that stop monetary fraud, platform abuse, and bot attacks before they reach our users.

Why Lovable?

Lovable is the software creation platform that gives people the power to act on the problems closest to them. For decades, turning an idea into software required so much capital, technical fluency, and time that many ideas never came to life. Lovable is the counterargument: a platform for all people with ideas, ambition, and problems worth solving. From solopreneurs to small business owners to teams at companies like Adidas and Zendesk, people have built over 60 million projects on Lovable since its launch in November 2024. And we’re just getting started.

We’re building a generational company from Stockholm, with growing teams in London, Boston, New York, and San Francisco. Our team is small, talent-dense, and moving quickly, with a culture rooted in extreme ownership, high velocity, and low-ego collaboration. We look for people who care deeply, ship fast, and are eager to make a dent in the world.

Lovable is one of TIME’s 100 Most Influential Companies and has been recognized on the Forbes AI 50 and CNBC Disruptor 50, reflecting our momentum as one of Europe’s fastest-growing AI companies and one of the most ambitious places to build in this next era of software.

What we're looking for

5+ years building anti-fraud, anti-abuse, or risk systems at consumer scale (payments, marketplaces, fintech, or large social platforms).
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, real-time feature stores, ML scoring, device fingerprinting, and behavioral signals.
You think in adversaries: you can model an attacker, ship a counter, and measure it before they adapt.
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, credit farming) or with chargeback and payments fraud at a Stripe/Adyen/Braintree-scale merchant.

What you'll do

Design and ship the fraud platform that protects Lovable's payments, credits, and free tier from abuse.
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 re-deploy weekly.
Stand up bot defenses across signup, app generation, and publishing - without breaking legitimate users.
Own the metrics that matter: fraud loss rate, false-positive rate, attacker time-to-defeat.

About your application

Please submit your application in English - it’s our company language, so you’ll be speaking lots of it if you join
We treat all candidates equally - if you’re interested, please apply through our careers portal

How we rate this

Trust & Safety Engineer at Lovable rates 40 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Trust & Safety Engineer is an open job at Lovable.
Level rates this role AI Level 2 of 4: Uses AI.
The role is based in Stockholm.
The job was posted on September 2, 2026.
Seniority: senior.
Applications are handled by Lovable. Apply on Lovable

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Trust And SafetyAnti FraudBackend EngineeringRisk SystemsMachine learningGoPythonTypeScript

Questions you could be asked

Tell me about a project where trust and safety was part of your work. What did you do?
Tell me about a project where anti fraud was part of your work. What did you do?
Tell me about a project where backend engineering was part of your work. What did you do?
Tell me about a project where risk systems was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Trust And Safety, Anti Fraud, Backend Engineering, Risk Systems, and Machine learning. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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