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N-iX Logo N-iX · Quality Control

Tech Lead QA Engineer with AI experience

Ukraine · Job Posted July 13, 2026
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Job Description

N-iX is looking for a Tech Lead QA Engineer with AI experience to join our team. We're looking for a hands-on Tech Lead/Senior Manual QA Engineer who can cover the full testing spectrum: UI, API, and AI/ML output validation. You'll be joining a project building an AI-powered document analysis platform from the ground up. The system combines a CMS backend, modern UI, and a RAG-based AI layer used for intelligent document processing and analysis.

Job Responsibility

  • Follow a phased QA approach — begin with CMS and backend testing to establish a reliable baseline of expected system behavior, 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 your knowledge of business rules to identify inconsistencies, hallucinations, or degraded outputs in agent responses
  • 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

Requirements

  • 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

What we offer

  • 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
N-iX - All Job Offers

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