Middle QA Engineer

About Us: Kebeta.ai is a deep-tech studio that builds custom AI solutions beyond generic APIs. We specialize in NLP, Knowledge Graphs, and Deep Reinforcement Learning in domains like Media, Autonomous Trading, Tourism, etc. About Project: An application that brings AI into highly specialized professional fields, enabling them to benefit from the latest cutting-edge advancements. About the role: We are looking for a QA Engineer to join our team and ensure the quality of our AI-powered product. You will work with web applications and APIs, design and execute tests, and help us deliver a reliable and predictable user experience. Requirements: - 2+ years of experience as a QA Engineer; - Experience in testing web applications; - Have practical experience testing API using Postman or similar tools; - Hands-on experience using AI tools in daily QA work (e.g., ChatGPT, Claude, Copilot) for test case generation, test data, and bug analysis; - Good knowledge of browser DevTools (Network, Console, Elements); - Good knowledge of testing types and test design techniques (equivalence partitioning, boundary value analysis, decision tables, etc.); - Experience in creating and maintaining test documentation (test cases, checklists, test plans, bug reports); - Understanding of Agile approach (Scrum, Kanban); - Basic knowledge of HTML, CSS, JavaScript and SQL; - Analytical mindset: ability to break down a problem, spot inconsistencies in data or system behavior, and clearly explain your reasoning; - English level: Upper-Intermediate or higher. Will be a plus: - Technical education in IT or a related field (Computer Science, Software Engineering, Information Systems, Applied Mathematics, Radio/Electronics Engineering, etc.), or equivalent practical experience confirmed by relevant courses and certifications; - Experience in testing AI-based products (LLM-based features, chatbots, recommendation or ML systems), including evaluating the quality, consistency and safety of model outputs; - Understanding of prompt engineering basics and typical AI product risks (hallucinations, bias, non-deterministic behavior); - Experience with Git; - Experience with test automation (e.g., Playwright, Cypress, Selenium, or API automation); - Experience with Jira and test management tools. Responsibilities: - Analyze requirements and design, create, and execute test cases, checklists, and test documentation; - Perform functional and regression testing of web applications; - Test APIs using Postman, verify integrations and data correctness; - Test AI-driven features: validate the relevance, accuracy and stability of results; - Execute manual tests and participate in automation (partially); - Log, track, and verify defects in Jira, providing clear and reproducible bug reports; - Collaborate with developers, product managers, and ML engineers within an Agile team; - Contribute to improving QA processes and the overall product quality. We offer: - The ability to focus on your work: a lack of bureaucracy and micromanagement; - Competitive compensation depending on skills and experience level; - Ability to learn new technological stacks, which help you to grow professionally and advance your career; - Friendly atmosphere, concern for the comfort of specialists; - English lessons; - Flexible schedule depends on project’s needs; - 15 working days of vacation; - 12 working days per year are allowed to be “no show days” due to personal reasons. Location: Ukraine – Remote