👔 Маєш вакансії? Публікуй все, що маєш — безкоштовно →
Назад

Tech Lead QA Engineer with AI experience at N-iX

Rakuten

N-iX Всі вакансії (20)

★ Based on
Founded in

Деталі

Дата публікації

September 24, 2026

Дата закриття

October 24, 2026

Кар'єрний рівень

Lead

Освіта

Bachelor


N-iX is looking for a Tech Lead QA Engineer with AI experience to join our team. We’re building an AI-powered document analysis platform from the ground up, combining a CMS backend, modern UI, and a RAG-based AI layer.

Обов’язки

  • Follow a phased QA approach — begin with CMS and backend testing to establish a reliable baseline, then apply those insights to validate AI agent outputs effectively
  • Design and execute test cases for REST APIs, covering functional correctness, edge cases, error handling, authentication, and data integrity
  • Perform UI testing across core user journeys, validating layout, behavior, and integration with backend services
  • Transition into AI output validation once the deterministic layers are stable — using business rules to identify inconsistencies, hallucinations, or degraded outputs
  • Document and maintain test cases, test plans, and bug reports in a structured and traceable way
  • Participate in requirement reviews and technical discussions to identify testability gaps early
  • Collaborate with the Lead Big Data/AI Engineer and AI team to understand RAG pipeline behavior, document ingestion flows, and output quality expectations
  • Contribute to building reusable test assets and QA processes as the project scales

Вимоги

  • 4+ years of experience in manual QA, with exposure to frontend, backend and AI testing
  • Solid experience with API testing using tools such as Postman, REST Client, or similar
  • Experience testing web UIs and understanding of cross-browser/cross-environment considerations
  • Ability to read and interpret API documentation, data schemas, and system architecture descriptions
  • Hands-on experience working on projects that included AI, ML, or NLP components — particularly validating outputs that are probabilistic or context-dependent
  • Familiarity with the concept of RAG (Retrieval-Augmented Generation) or LLM-based systems
  • Strong analytical thinking — especially the ability to assess whether an AI response is contextually correct, not just technically non-null
  • Good understanding of test documentation practices: test plans, test cases, bug reports, traceability
  • English level at least Upper-Intermediate

Що пропонуємо

  • Flexible working format – remote, office-based or flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits

СХОЖІ ВАКАНСІЇ

Переглянути всі вакансії
Manual QA Engineer (iOS) at Unitedtech

Переглянути
Automation Engineering Lead at OBRIO

Kenya

Переглянути
Розкажи нам хто ти в IT — і ми підберемо для тебе найкраще
Коротке анонімне опитування, яке допомагає нам залучати кращих експертів та вакансії
⏱
Займе лише 2–3 хвилини
🔒
Повна анонімність
🎁
Отримаєш свій IT-персонаж
Пройти опитування →
🌎 Дані використовуємо для покращення сервісу

Збережи вакансію

Увійди або зареєструйся, щоб зберігати вакансії та трекати відгуки.

або

Немає акаунту?

Увійдіть у Hoorya

Система сама відкриє ваш кабінет — кандидата чи рекрутера

або