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