Software Engineer, Trust & Safety

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $215k - $285k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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OpenRouter

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2023

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

Consulting • Marketing • Artificial Intelligence

OpenRouter is a platform providing a unified interface for interacting with various large language models (LLMs). It focuses on delivering better prices and uptime without the need for subscriptions. The platform supports multiple AI tasks and showcases models like Mistral Small 3 and DeepSeek R1 Distill Qwen 32B, which are designed for fast performance and high accuracy. OpenRouter also features gaming and coding tools that enhance usability across different sectors such as marketing, finance, and education.

📋 Description

• Build and operate systems across signup, payments, and usage to detect abuse and fraud early • Own the technical enforcement pipeline from detection through human review and restrictions across systems • Build internal investigation and enforcement tools, including case queues, evidence summaries, bulk review and enactment, and investigation alerts • Ship content-safety solutions on the inference path, including illegal-content detection and reporting • Build or integrate KYC systems and external intelligence sources to detect and stop fraud and abuse proactively • Develop systems, tools, and heuristics for rapid detection and scalable enforcement • Investigate incidents directly in data and build analytics capabilities to establish what happened, size patterns, and distinguish abuse from false positives • Build monitoring for risk, abuse spikes, and fraud while reducing false positives • Set technical direction for abuse prevention and define patterns for other engineers • Work with data scientists on feature exploration and training risk and abuse ML models

🎯 Requirements

• 4+ years building and operating production systems, ideally including trust & safety, fraud, payments risk, security, or anti-abuse experience • Proficient in React, TypeScript, Next.js, and JavaScript runtimes • Ability to write SQL against large event datasets • Ability to 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 workflow, including frequent use of coding agents and workflow automation • Comfortable in a small, fast-moving environment with fluid team boundaries • Discretion and resilience when reviewing or discussing disturbing content and handling sensitive user data • Strong written and verbal communication • Motivation by adversarial problems • Nice to have: payments fraud tooling experience, including Stripe Radar, chargebacks, disputes, or crypto payment risk • Nice to have: identity and KYC systems experience • Nice to have: LLM-specific abuse experience, including jailbreaks, prompt injection, key theft and resale, shared or scraped credentials, or automated account farming • Nice to have: large-scale analytical datastores such as ClickHouse or BigQuery and observability platforms • Nice to have: familiarity with hosted-AI reporting and compliance obligations • Nice to have: OpenRouter usage or side projects in AI products, infrastructure, or developer tooling

🏖️ Benefits

• Equity • Remote work in the US