Job Summary: We are seeking a highly motivated and detail-oriented CCAI QA Engineer to ensure the quality and performance of our conversational AI solutions built on Google Cloud's Contact Center AI (CCAI) platform, specifically Dialogflow CX. The ideal candidate will have a solid understanding of testing methodologies and experience with automated testing tools, with a focus on conversational flows and natural language understanding. You will play a crucial role in validating agent functionality, identifying defects, and ensuring a seamless and positive user experience. Must-Have Skillsets: CCAI Core Technologies: Dialogflow CX (Essential) Contact Center AI (Understanding of its components like Virtual Agent, Agent Assist, etc.) Conversational Design Principles (Understanding of user flows, intent mapping, entity extraction) Testing and Automation: Dialogflow CX Testing (Experience with the Dialogflow CX testing framework or equivalent) Test Case Design and Execution (Creating test cases based on user stories and requirements) API Testing (Experience with tools like Postman or REST Assured) Performance Testing (Basic understanding of performance testing concepts for conversational flows) Automation Tools (Experience with tools like Botium, Cyara, or similar chatbot testing frameworks is highly desirable) Test Management Tools (Jira, Xray, TestRail, etc.) Programming/Scripting (Beneficial but not always mandatory): Python (For test scripting and automation) JavaScript (For web-based testing) Cloud Platforms: Google Cloud Platform (GCP) (Basic understanding of GCP services is a plus) Other: Strong understanding of QA methodologies and best practices Excellent analytical and problem-solving skills Strong communication and collaboration skills Key Responsibilities: Test Planning and Design: Collaborate with developers and product managers to understand requirements and create comprehensive test plans. Develop detailed test cases and test scripts for Dialogflow CX agents, covering various conversational flows, intents, entities, and edge cases. Test Execution and Reporting: Execute test cases and document test results. Identify, document, and track defects using bug tracking systems. Perform regression testing to ensure that new changes do not introduce regressions. Automation: Develop and maintain automated test scripts using relevant tools and frameworks (e.g., Botium, Cyara, Python). Contribute to the continuous improvement of the testing process by identifying opportunities for automation. Performance and Load Testing: Participate in performance and load testing of Dialogflow CX agents to ensure scalability and responsiveness. Collaboration: Work closely with developers, product managers, and other stakeholders to ensure the quality of the conversational AI solutions. Participate in code reviews and provide feedback on testability. Required Skills and Experience: Proven experience in software quality assurance, with a focus on testing web applications or APIs. Experience testing conversational AI applications or similar technologies is highly preferred. Familiarity with Dialogflow CX or other chatbot platforms is a significant advantage. Strong understanding of testing methodologies (Agile, Waterfall). Experience with test automation tools and frameworks. Excellent analytical, problem-solving, and communication skills. Ability to work independently and as part of a team.
