Назад
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6 дней назад

AI QA Engineer

Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
CR
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
AI QA Engineer (AI/data platform): Building automated quality solutions for an intelligent data-management platform, including evaluation datasets, regression suites, and test automation across unit, integration, and end-to-end layers with an accent on non-deterministic AI outputs, accuracy, latency, cost, and functional correctness. Focus on testing AI systems for drift, hallucinations, guardrails, reliability, and scalability while supporting cloud-based processing services.

Location: Prague, Czech Republic; primarily in-office work is required.

Company

hirify.global is developing an intelligent data-management platform for discovering, classifying, contextualizing, enriching, and securing data across SaaS, on-premises, cloud, and hybrid environments.

What you will do

  • Design and execute quality strategies for AI-driven platform features.
  • Build evaluation datasets, regression suites, and quality metrics for non-deterministic outputs.
  • Validate AI feature accuracy, latency, cost, and functional correctness.
  • Create and maintain automation across unit, integration, and end-to-end testing layers.
  • Collaborate with engineering teams and stakeholders from initial design through production.
  • Contribute to code reviews, documentation, continuous integration, continuous deployment, and quality improvement practices.

Requirements

  • Experience designing, implementing, testing, and operating software applications or platform components.
  • Proficiency in Python, Java, Go, or another modern programming language.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud, including Kubernetes.
  • Experience with SQL and NoSQL databases, data structures, algorithms, and modern software engineering practices.
  • Familiarity with AI-assisted QA automation and cloud networking concepts.
  • Strong collaboration, communication, and problem-solving skills.

Nice to have

  • Exposure to AI or ML feature testing, including evaluation harnesses, prompt and model regression testing, or output-quality measurement.
  • Interest in addressing AI quality challenges such as non-determinism, drift, hallucinations, and guardrail verification.

Culture & Benefits

  • Innovation-focused environment that encourages critical thinking and experimentation.
  • Support for professional growth and contribution to meaningful platform transformation.
  • Collaborative team culture focused on shared success and continuous improvement.
  • Flexible time off, wellness resources, and company-sponsored team events.
  • Inclusive workplace with employee resource groups and accommodations available throughout the hiring process.

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