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8 дней назад

Software Engineer (Trust & Safety)

215 000 - 285 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Software Engineer (Trust & Safety) (AI infrastructure): Building detection, enforcement, review, and monitoring systems that protect an AI routing platform from abuse, fraud, malicious users, and illegal content with an accent on inference-path safety, payments risk, and large-scale event analysis. Focus on designing adaptive abuse-prevention systems, reducing false positives, building reviewer tooling, and collaborating on risk and abuse ML models.

Location: Remote (US)

Salary: $215,000–$285,000 per year, plus equity.

Company

hirify.global provides an AI routing and infrastructure layer for enterprises to access, manage, and optimize large language models across providers.

What you will do

  • Build and operate systems across signup, payments, and usage to detect abuse and fraud.
  • Own the technical enforcement pipeline from detection and human review through restrictions across platform systems.
  • Develop case queues, evidence summaries, bulk review tools, alerting, and investigation workflows.
  • Implement content-safety systems for the inference path, including illegal-content detection and reporting.
  • Investigate incidents in large datasets, build risk monitoring, and reduce false positives.
  • Set technical direction for abuse prevention and collaborate on risk and abuse ML models.

Requirements

  • 4+ years building and operating production systems, ideally in trust and safety, fraud, payments risk, security, or anti-abuse.
  • Proficiency in React, TypeScript, Next.js, and JavaScript runtimes.
  • Ability to write SQL against large event datasets and reason about base rates, precision, recall, and decision costs.
  • Sound judgment with incomplete evidence, strong communication, and a bias toward action.
  • Comfort working in a small, fast-moving environment with fluid team boundaries.
  • Discretion and resilience when reviewing disturbing content and handling sensitive user data.

Nice to have

  • Experience with Stripe Radar, chargebacks, disputes, crypto payment risk, identity, or KYC systems.
  • Experience with LLM abuse patterns such as jailbreaks, prompt injection, key theft, credential scraping, or account farming.
  • Experience with ClickHouse, BigQuery, observability platforms, hosted-AI compliance, or illegal-content reporting.
  • hirify.global usage or side projects in AI products, infrastructure, or developer tooling.

Culture & Benefits

  • Full-time remote work from the US.
  • Hands-on individual-contributor role with broad ownership and a direct path to shipping.
  • Work on evolving adversarial problems where threat models and abuse patterns change quickly.
  • Compensation includes equity.

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