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2 часа назад

Senior QA Automation Engineer (AI)

Тип работы
fulltime
Грейд
senior
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

Senior QA Automation Engineer (AI): Designing and maintaining automated test suites and evaluation scenarios for AI-powered applications with an accent on scalable testing frameworks and AI/ML model validation. Focus on automating QA workflows using Python, building quality gates for CI/CD pipelines, and translating qualitative AI outputs into measurable metrics.

Location: London, UK

Company

hirify.global provides software tools that help innovators design and make a better world across architecture, engineering, construction, manufacturing, and media and entertainment.

What you will do

  • Design and maintain automated test suites, evaluation scenarios, metrics, and test datasets for AI-powered features.
  • Automate QA workflows using Python and CI/CD tools such as GitHub Actions and Jenkins.
  • Create test harnesses and perform API testing for AI services and backend systems.
  • Define quality strategies and acceptance criteria for functional, API, integration, and AI/ML features.
  • Evaluate AI/ML model outputs for correctness and consistency using structured rubrics.
  • Mentor teams on QA automation best practices and contribute to multi-team codebases.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
  • 5+ years of professional experience in software quality assurance or test automation.
  • Strong programming skills in Python.
  • Hands-on experience using AI-powered testing tools or AI coding assistants.
  • Proficiency in CI/CD tools and designing QA frameworks used by multiple teams.
  • Must be based in London, UK

Nice to have

  • Experience testing AI/ML applications or validating machine learning models.
  • Familiarity with ML frameworks such as PyTorch and TensorFlow.
  • Experience with data validation tooling (e.g., Great Expectations) or orchestration tools (e.g., Airflow, Metaflow).
  • Knowledge of MLOps practices, including model monitoring and drift detection.
  • Experience with cloud providers (AWS, Azure, GCP) and experiment tracking tools (MLflow, Comet, Weights & Biases).

Culture & Benefits

  • Culture of belonging designed to help every employee thrive.
  • Competitive compensation package including base salaries and annual cash bonuses.
  • Stock grants and comprehensive benefits package.
  • Opportunity to work on high-impact software used in global industries.
  • Collaborative environment with teams across various global locations.

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