Senior Tech Lead QA with Aqa and AI Experience

N-iX is looking for a Senior/Tech Lead QA Engineer with AI experience to join our team. We're looking for a hands-on Senior/Tech Lead 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. Responsibilities: • Design and execute test cases for REST APIs, covering functional correctness, edge cases, error handling, authentication, and data integrity • 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 • 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 • Hands-on experience with test automation for web applications and/or APIs using tools or frameworks such as Playwright, Cypress, Selenium, pytest, or similar. • Ability to determine which test scenarios are suitable for automation versus manual validation. • 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 • Experience working in Agile/Scrum teams • Upper-Intermediate English or higher — you'll be communicating directly with the client and cross-functional team members • Familiarity with Palantir Foundry is a strong plus 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 *not applicable for freelancers