3 Dialogflow Cx Jobs

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.

Job Description: CCAI Architect (Intermediate) Total Experience Range: 8-15 years CCAI Experience: 4+ years Must-Have Skillsets: Dialogflow CX: Deep expertise in designing, building, and optimizing complex conversational agents. Conversational Design: Proven ability to create engaging and effective conversational experiences. NLU Tuning: Proficiency in fine-tuning NLU models for optimal intent recognition and entity extraction. Webhook Development: Strong hands-on experience with Node.js or Python for integrating external services and data sources. Generative AI: Understanding of generative AI techniques and their application within Dialogflow CX. Cloud Platforms: Familiarity with Google Cloud Platform (GCP), including deployment, CI/CD pipelines, and security best practices. Version Control: Proficiency in Git for collaborative development. Python Programming: Solid Python programming skills for data analysis, automation, and webhook development. GCP Certification: Relevant GCP certifications (e.g., Cloud Architect, Data Engineer) are preferred. Detailed Job Description: As a CCAI Architect, you will play a pivotal role in designing, developing, and deploying innovative conversational AI solutions. You will leverage your deep understanding of Dialogflow CX and conversational design principles to create robust and scalable agents that deliver exceptional user experiences. Key Responsibilities: Architecture Design: Develop comprehensive architectural blueprints for complex conversational AI systems, considering scalability, performance, and maintainability. NLU Optimization: Fine-tune NLU models to improve intent recognition and entity extraction accuracy, ensuring optimal agent performance. Webhook Development: Build and integrate custom webhooks using Node.js or Python to extend Dialogflow CX's capabilities and connect to external systems. Generative AI Integration: Explore and leverage generative AI techniques to enhance conversational experiences, such as generating natural language responses or personalized recommendations. Deployment and CI/CD: Collaborate with DevOps teams to deploy and maintain Dialogflow CX agents, ensuring smooth operations and efficient updates. Performance Optimization: Monitor agent performance metrics and identify opportunities for improvement, such as optimizing dialog flows, reducing response times, and enhancing error handling. Best Practices: Stay up-to-date with the latest advancements in conversational AI and industry best practices, sharing knowledge and mentoring team members. Collaboration: Work closely with cross-functional teams, including product managers, designers, and developers, to align on project goals and deliver high- quality solutions.

CCAI Developer Total Experience Range: 4-7 years CCAI Experience: 2-3 years Must-Have Skillsets: CCAI Core Technologies: Dialogflow CX Contact Center AI Virtual Agent Agent Assist Testing and Automation: DF Testing Scripts Automation Tools (Cyara, Botium) API Testing Performance Testing Programming Languages: Python Cloud Platforms: Google Cloud Platform (GCP) Certifications: Google Cloud Certified - Professional Cloud Architect or equivalent Detailed Job Description: As a CCAI Developer, you will be responsible for designing, developing, and deploying innovative conversational AI solutions leveraging Google Cloud's Contact Center AI suite. You will work closely with cross-functional teams to deliver high-quality, scalable, and user-centric AI experiences. Key Responsibilities: Design and Development: Design and implement robust and efficient Dialogflow CX agents. Develop custom integrations with backend systems using Python and other relevant technologies. Create and refine natural language understanding models to improve intent recognition and entity extraction. Develop and maintain test automation frameworks to ensure quality and reliability. Testing and Quality Assurance: Conduct thorough testing of Dialogflow agents, including functional, performance, and security testing. Identify and resolve issues related to agent performance, accuracy, and user experience. Collaborate with QA teams to establish and maintain quality standards. Deployment and Maintenance: Deploy and manage Dialogflow agents in production environments. Monitor agent performance and proactively address issues. Continuously improve agent performance through fine-tuning and optimization. Collaboration and Knowledge Sharing: Collaborate with cross-functional teams, including product managers, UX designers, and data scientists. Stay up-to-date with the latest advancements in AI and machine learning. Share knowledge and best practices with team members. Required Skills and Experience: Strong understanding of natural language processing (NLP) and machine learning concepts. Proficiency in Python programming language. Hands-on experience with Dialogflow CX, Contact Center AI, and Virtual Agent. Experience with testing frameworks and automation tools. Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Ability to work independently and as part of a team.