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22 часа назад

Staff QA Engineer (AI)

90 000 - 110 000GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Staff QA Engineer (AI): Owning and improving the testing infrastructure for an AI-first software platform used by lawyers and clients, with an accent on product quality, regression prevention, and LLM-based software testing challenges. Focus on designing solutions for non-deterministic AI software, building and maintaining robust test suites and pipelines, and fostering better testing methodologies across engineering teams.

Location: Hybrid in London, UK

Compensation: £90,000 – £110,000

Company

hirify.global is an online platform making legal help accessible for consumers and small businesses by combining human lawyers with the world’s first AI lawyer, built specifically for consumer legal work.

What you will do

  • Own the testing infrastructure to improve product quality and prevent regressions in AI-first software.
  • Collaborate with product teams and lawyer users to validate work and enhance testing rigor.
  • Build and maintain test suites and pipelines that support rapid product and AI development.
  • Work with the engineering team to adopt better testing methodologies and tools.
  • Define and monitor key flows, runbooks, and quality metrics across product teams.

Requirements

  • Very comfortable with automated testing tools and frameworks in web, TypeScript, and Python ecosystems (e.g., Playwright, Github Actions, Vitest, Pytest).
  • Experience building testing frameworks and patterns for high-velocity engineering teams from the ground up.
  • Familiarity with AI software and the unique testing challenges of non-deterministic software.
  • English: B2 required

Culture & Benefits

  • Ship features rapidly, moving from idea to production in hours.
  • Empathize deeply with lawyers and legal clients to build products that understand their needs.
  • Strive for excellence and constantly learn and experiment with cutting-edge AI technologies.
  • Meaningful early-stage equity.
  • 33 days annual leave plus your birthday off.
  • Regular team building activities and socials.

Hiring process

  • Introductory call with Talent team.
  • 1:1 with hiring manager.
  • Technical interview.
  • Values interview with CTO/Co-founder.

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