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