Senior Software Quality Assurance (QA) Engineer - AI

As a detail-oriented and experienced Quality Assurance (QA) Engineer at Skillsoft, you will play a crucial role in ensuring the performance, accuracy, and reliability of our AI conversational systems. Your responsibilities will include: - Developing and executing comprehensive test plans and test cases for AI conversational systems, ensuring all functional and nonfunctional requirements are met. - Conducting end-to-end testing of speech recognition (STT), natural language understanding (NLU), and response generation (NLG) within the AI platform. - Performing manual and automated testing of conversational flows, including edge cases, error handling, and multi-turn dialogues. - Validating the system's ability to understand and process various user intents, entities, and languages. - Testing integrations between different components of the AI system, including third-party APIs, speech interfaces, and backend data systems. - Ensuring the quality and accuracy of voice output (TTS) and conducting thorough testing of speech quality across different platforms and devices. - Identifying and documenting bugs, performance issues, and user experience problems, and collaborating closely with developers and AI engineers to resolve them. - Monitoring system performance and behavior under various conditions, including large-scale interactions and stress testing. - Conducting regression testing after each update to ensure previous features remain functional and efficient. - Collaborating with cross-functional teams (AI/ML engineers, product managers, and UI/UX designers) to define quality benchmarks and maintain continuous improvement in testing processes. Qualifications required for this role include: - 5-8 years of experience and a Bachelor's degree in Computer Science, Engineering, or a related field. - Proven experience as a QA Engineer, preferably with exposure to AI/ML-based systems or conversational AI platforms. - Familiarity with natural language processing (NLP), machine learning models, and speech technologies such as STT, TTS, and dialogue systems. - Proficiency in test automation tools such as Selenium, Appium, Cypress, Playwright, PyTest, JUnit, TestNG, etc. - Hands-on experience with API testing tools like Postman, RestAssured, or SoapUI. - Strong problem-solving skills with a focus on quality and attention to detail. - Experience in agile software development methodologies. - Strong communication skills and the ability to work collaboratively in a team-oriented environment. If you are intrigued by this opportunity and possess the required qualifications, we encourage you to apply to join our team at Skillsoft. As a detail-oriented and experienced Quality Assurance (QA) Engineer at Skillsoft, you will play a crucial role in ensuring the performance, accuracy, and reliability of our AI conversational systems. Your responsibilities will include: - Developing and executing comprehensive test plans and test cases for AI conversational systems, ensuring all functional and nonfunctional requirements are met. - Conducting end-to-end testing of speech recognition (STT), natural language understanding (NLU), and response generation (NLG) within the AI platform. - Performing manual and automated testing of conversational flows, including edge cases, error handling, and multi-turn dialogues. - Validating the system's ability to understand and process various user intents, entities, and languages. - Testing integrations between different components of the AI system, including third-party APIs, speech interfaces, and backend data systems. - Ensuring the quality and accuracy of voice output (TTS) and conducting thorough testing of speech quality across different platforms and devices. - Identifying and documenting bugs, performance issues, and user experience problems, and collaborating closely with developers and AI engineers to resolve them. - Monitoring system performance and behavior under various conditions, including large-scale interactions and stress testing. - Conducting regression testing after each update to ensure previous features remain functional and efficient. - Collaborating with cross-functional teams (AI/ML engineers, product managers, and UI/UX designers) to define quality benchmarks and maintain continuous improvement in testing processes. Qualifications required for this role include: - 5-8 years of experience and a Bachelor's degree in Computer Science, Engineering, or a related field. - Proven experience as a QA Engineer, preferably with exposure to AI/ML-based systems or conversational AI platforms. - Familiarity with natural language processing (NLP), machine learning models, and speech technologies such as STT, TTS, and dialogue systems. - Proficiency in test automation tools such as Selenium, Appium, Cypress, Playwright, PyTest, JUnit, TestNG, etc. - Hands-on experience with API testing tools like Postman, RestAssured, or SoapUI. - Strong problem-solving skills with a focus on quality and a