# Software Engineer, Trust & Safety

**Company**: OpenRouter
**Location**: Remote (US)
**Work arrangement**: remote
**Experience**: senior
**Job type**: Full time
**Salary**: $215K - $285K
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.ashbyhq.com/openrouter/cd5340a1-e787-4916-abb8-a08ab1bb229b?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_aaf5d20d-5b5

## Description

## Compensation

$215K – $285K • Offers Equity

## About OpenRouter

OpenRouter is the leading AI routing and infrastructure layer that enterprises use to access, manage, and optimize the best large language models across providers,without lock-in, capacity constraints, or unnecessary cost.

## About the Role

We're hiring a Software Engineer on our Trust & Safety team to own the detection, enforcement, and review systems that keep abuse, fraud, malicious users and illegal content off the platform.

You will be responsible for proactive abuse-prevention architecture for a new layer of the AI stack while the abuse patterns are still being invented.

## What You'll Do

- Build and operate technical systems across signup, payments, and usage to detect abuse and fraud early.

- Own the technical enforcement pipeline end to end, from detection proposing a candidate to a human reviewing it to restrictions landing across our systems.

- Build the internal tools that support investigation and enforcement decision-making.

- Ship technical solutions for content safety on the inference path: illegal content detection and reporting.

- Help make abuse uneconomical by building systems, tools, and heuristics for quick detection and scalable enforcement.

- Help investigate incidents directly in the data and build the analytics plane.

- Build defensible monitoring for risk, abuse spikes, and fraud, all while reducing false positives.

- Set the technical direction for how we prevent abuse as the platform grows and evolves.

- Work with data scientists on feature exploration and training of risk and abuse ML models.

## What We're Looking For

- 4+ years building and operating production systems, ideally including work in trust & safety, fraud, payments risk, security, or anti-abuse.

- Proficient in React, TypeScript, Next.js, and JS runtimes.

- Ability to write SQL against large event datasets and reason about base rates, precision and recall, and the cost of a wrong decision.

- Sound judgment when working with incomplete evidence.

- High agency and a bias toward action.

- AI-forward in your workflow, using coding agents often.

- Comfortable in a small, fast-moving environment.

- Discretion and resilience.

- Strong written and verbal communication.

- Motivated by adversarial problems.

## Nice to Haves

- Experience with payments fraud tooling.

- Experience with LLM-specific abuse.

- Experience operating large scale analytical datastores.

- Familiarity with the reporting and compliance obligations that come with hosted AI.

## Skills

### Required
- React
- TypeScript
- Next.js
- JS runtimes
- SQL

### Nice to have
- payments fraud tooling
- LLM-specific abuse
- large scale analytical datastores
- hosted AI compliance

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Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/openrouter/cd5340a1-e787-4916-abb8-a08ab1bb229b?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)