Назад
3 дня назад

Software Quality Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/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 Quality Engineer (AI): Defining and implementing quality strategies, automated test frameworks, and validation plans for AI agents and LLM-powered applications with an accent on reliability, performance, and generative AI testing. Focus on integrating automated checks into CI/CD pipelines, evaluating model behavior, managing test data and mock services, and analyzing production defects across distributed systems.

Location: Hybrid, based out of the London, San Francisco, Seattle, or New York City office hubs

Company

Writer develops an enterprise AI platform for building and deploying AI agents powered by enterprise-grade large language models.

What you will do

  • Define quality assurance strategies, test plans, and validation criteria for AI agents and LLM-powered applications.
  • Design, develop, and maintain scalable automated test frameworks using Python or TypeScript and modern testing tools.
  • Collaborate with product managers, machine learning engineers, and data scientists to test complex AI features and model behavior.
  • Integrate automated checks into CI/CD pipelines and improve testing infrastructure and release quality.
  • Monitor production systems and AI model performance, investigate defects, and perform root cause analysis.
  • Manage test data, mock services, customer feedback, debugging logs, and the full software defect lifecycle.

Requirements

  • 5+ years of experience in software quality assurance or engineering, focused on complex distributed systems or AI/ML applications.
  • 5+ years of experience working with GitHub Actions.
  • Proficiency in Python or TypeScript for test automation and experience with Playwright.
  • Understanding of AI/ML concepts, model evaluation metrics, data pipelines, and generative AI testing challenges.
  • Strong analytical, debugging, collaboration, and independent ownership skills.
  • Experience with agentic AI systems, AI skills, and the Model Context Protocol (MCP).

Nice to have

  • Experience with AWS, Azure, or GCP.
  • Experience with Docker and Kubernetes in a CI/CD environment.
  • Experience testing cloud-based distributed systems.

Culture & Benefits

  • Hybrid work from one of the listed office hubs.
  • Paid time off and company holidays.
  • Medical and dental insurance, paid parental leave, and fertility and family planning support.
  • Competitive pension scheme and company contribution for UK full-time employees.
  • Wellness, learning and development stipends, company stock options, and team off-sites.

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