Software Engineer, Trust & Safety

Written by the T&S Network from Vercel's posting.

Engineering work on the systems that detect and disrupt abuse and fraud on Vercel's deployment and compute platform, including fraud run through AI agents, abuse of deployments and compute, and payment fraud on token-based usage. The role sits on a trust and safety engineering team and is built around stopping abuse at internet scale.

• Fraud and scams
• AI misuse and jailbreaks

What you'd do

• Build production services that catch AI agent fraud and abuse of deployments and compute.
• Build detection systems that surface abuse patterns across large datasets.
• Ship LLM classifiers and prevention tools, along with the datasets and evals that score them.
• Maintain internal tooling used in trust and safety workflows.
• Study threat actor behavior to sharpen detection logic.
• Partner with security, product, and infra teams to take prototypes to stable production.

What it asks for

• Shipped JavaScript/TypeScript and Python code, owning systems from prototype to deployment.
• Working LLM experience across prompting, evaluation, and fine-tuning.
• Experience operating production services on AWS.
• Experience shipping an AI-based trust and safety system to production (preferred).
• Experience building or hosting a project on Vercel (preferred).

Our best summary of the posting, and it can be wrong. The employer's posting is what counts: read it in full on Vercelnorth_east before you apply. If we got something wrong, report this listing.