4 Dialogflow Cx Jobs

As a Conversational AI Engineer specializing in Dialogflow CX and Generative AI, you will play a crucial role in developing intelligent virtual agents that enhance user interactions through cutting-edge AI-driven conversations. Your responsibilities will include leading discovery workshops to gather business requirements, building engaging virtual agents using Dialogflow CX, implementing advanced NLU/NLP logic, presenting prototypes to clients, integrating APIs and backend systems, collaborating with cross-functional teams, creating wireframes and conversation flows, ensuring usability and scalability, and monitoring performance metrics for continuous improvement. To excel in this role, you must have a minimum of 3 years of experience in Conversational AI development, hands-on expertise with Dialogflow CX, experience with Playbooks and GenAI models, a strong understanding of NLU/NLP fundamentals, proficiency in Python or Java for data/API integration, deployment experience with virtual agents, familiarity with analytical tools, and the ability to present technical solutions to clients effectively. Desired skills include experience in Generative AI fallback handling, API gateway integrations, conversational UX design principles, and exposure to other chatbot platforms. We are seeking individuals who are passionate about creative problem-solving with AI, collaborative in client-facing roles, detail-oriented with a strong interest in conversational UX, and self-starters capable of owning end-to-end conversational workflows. If you have experience with Dialogflow CX, Generative AI, Conversational Design, API Integration, and Python/Java-based automation, we encourage you to apply for this exciting opportunity to contribute to the development of real-time virtual agent solutions. To express your interest or refer someone suitable for this role, please send your updated profile to careers@stamenssoftware.com. Join us in revolutionizing digital user interactions through innovative AI technologies!,

Job Title: Conversational AI Engineer (Dialogflow CX | GenAI) Experience : 4 to 9 Years Employment Type: Full-Time (Permanent/Contract) Work Mode: Remote About the Role We are seeking a Conversational AI Engineer with hands-on experience in building intelligent, user-centric virtual agents using Dialogflow CX and Generative AI tools . This is a high impact role suited for individuals passionate about enhancing digital user interactions through cutting-edge AI-driven conversations. Key Responsibilities : Lead discovery workshops to gather business requirements, use cases, and virtual agent success criteria Build intelligent, engaging, and efficient virtual agents/chatbots using Dialogflow CX Implement advanced NLU/NLP logic (intents, entities, fallback handlers, data stores, etc.) Present chatbot prototypes and working agents to clients for review and QA feedback Integrate Playbooks, APIs, and backend systems to enable end-to-end conversational flows Collaborate with product managers, UX designers, and developers to iterate on agent behavior Create wireframes, mockups, and conversation flows using industry best practices Ensure usability, accessibility, and scalability of virtual agent experiences Monitor performance metrics and support continuous improvement initiatives Must- Have Skills & Experience 3+ years of experience in Conversational AI development Strong hands-on experience with Dialogflow CX (including agents , flows , and generators ) Experience working with Playbooks and GenAI models (e.g., OpenAI/Gemini integrations ) Solid grasp of NLU/NLP fundamentals: intents, utterances, entities, context handling Programming proficiency in Python or Java for data/API integration Experience in deploying and supporting virtual agents for real-world use cases (internal or external) Familiarity with analytical tools such as Looker , Power BI , or Tableau Ability to present technical solutions to clients and resolve QA/feedback-related issues Nice-to-Have Experience with Generative AI fallback handling Knowledge of API gateway integrations and backend orchestration Understanding of conversational UX design principles Exposure to other chatbot platforms (e.g., Rasa, Lex, Microsoft Bot Framework) What Were Looking For Someone who loves creative problem-solving with AI Highly collaborative and confident in client-facing roles Detail-oriented, with a strong passion for conversational UX Self-starter with the ability to own end-to-end conversational workflows Apply Now If You Have Experience With: Dialogflow CX (Flows, Intents, Entities) Generative AI (OpenAI, Gemini, etc.) Conversational Design + API Integration Python/Java-based automation Delivering real-time virtual agent solutions How to Apply: Send Your CV to: careers@stamenssoftware.com

66degrees is a leading consulting and professional services company that specializes in developing AI-focused, data-led solutions leveraging the latest advancements in cloud technology. With unmatched engineering capabilities and vast industry experience, we assist the world's leading brands in transforming their business challenges into opportunities and shaping the future of work. At 66degrees, we believe in embracing challenges and achieving success together. These values not only guide us in achieving our company goals but also extend to our people. We are committed to making a significant impact on our employees by fostering a culture that encourages innovation and supports professional and personal growth. We are currently looking for a highly skilled and collaborative Conversational Engineer (Remote Contract 4 months with potential for extension). As a Conversational Engineer, you will be responsible for conducting in-depth technical analysis and effective communication with others. Our ideal candidate excels in focusing on user experience and constructing complex virtual agents for our clients. This is a full-time remote contract role requiring 45 hours per week, and we are looking for a candidate who can join as soon as possible. **Key Requirements:** - Experience with Playbooks & GenAI. **Responsibilities:** - Lead discovery workshops to capture business requirements, success criteria, and constraints in order to understand and prioritize virtual agent requirements. - Develop conversational agents that are engaging, user-friendly, and efficient. - Present conversational agents in Dialogflow CX to customers and address QA issues, feedback, and troubleshooting. - Utilize all components of Dialogflow CX to creatively solve problems, including generators, data stores, and generative fallback. - Collaborate closely with product, development, and engineering teams to validate design solutions and participate in iterative product enhancement cycles. - Generate new concepts, wireframes, mockups, and prototypes based on internal requirements and creative briefs. - Establish visual and interactive standards documentation and ensure that designs align with the technical specifications of the product or application. - Stay informed about industry trends and incorporate this knowledge into your work regularly. **Qualifications:** - 2+ years of experience in building virtual agent solutions, preferably in Dialogflow CX. - Experience in bringing a virtual agent to market or working on a deployed virtual agent, either externally for customers or internally for company associates. - Profound understanding of NLP, NLU, and the complexities of creating and maintaining robust models, intents, and entities. - Strong grasp of the significance of data in the virtual agent continuous improvement lifecycle. - Proficiency in programming languages such as Java or Python to transfer data between source systems for use in virtual agent flows. - Previous experience with user dashboards or analytical applications is advantageous (e.g., Looker, Tableau, Power BI). - Excellent communication and interpersonal skills. - Up-to-date knowledge of web and mobile trends, technology, interface design, and usability standards. - Demonstrated conceptual skills and the ability to create rapid wireframes, mockups, and prototypes effectively.,

Job Summary: We are seeking a highly skilled and experienced Solution Architect & Delivery Lead to join our dynamic team. This pivotal role will be responsible for defining the technical vision, designing robust solutions, and leading the end-to-end delivery of Google Contact Center AI (CCAI) initiatives, with a primary focus on CCAI Agent Assist and Dialogflow CX . The ideal candidate possesses deep hands-on expertise in conversational AI and contact center technologies, combined with proven leadership skills to guide project teams, manage stakeholders, and ensure successful, on-time, and within-budget project delivery. You will bridge the gap between business requirements and technical implementation, translating complex needs into actionable solution architectures and overseeing their execution from concept to deployment. Key Responsibilities: Solution Architecture & Design (approx. 50%): Lead discovery sessions to gather and analyze complex business requirements, translating them into comprehensive Solution Design Document and architectural designs for CCAI Agent Assist and Dialogflow solutions. Design end-to-end conversational flows, intent identification, entity extraction, and fulfillment logic using Dialogflow ES/CX for both voice and chat applications. Architect and implement CCAI Agent Assist features, including real-time sentiment analysis, knowledge base integration, smart reply suggestions, and script nudges. Define integration strategies for CCAI solutions with existing contact center platforms (e.g., Salesforce, Zendesk, Genesys, Avaya), CRM systems, backend APIs, and data sources. Evaluate and recommend appropriate Google Cloud Platform (GCP) services (e.g., Cloud Storage, Cloud Functions, BigQuery, Pub/Sub, Vertex AI) to support CCAI deployments. Develop detailed architecture diagrams, technical specifications, and design documents. Ensure solutions are scalable, secure, reliable, cost-effective, and adhere to industry best practices and compliance standards. Conduct technical feasibility studies and Proof-of-Concepts (POCs) to validate architectural approaches. Stay abreast of the latest Google CCAI developments, Generative AI capabilities (including Vertex AI Conversation), and overall contact center AI trends. Project Delivery & Leadership (approx. 50%): Lead and manage the full lifecycle of CCAI projects from initiation to deployment and post-implementation support. Develop detailed project plans, scope definitions, timelines, resource allocation, and budget estimates. Act as the primary technical point of contact for clients and internal stakeholders, ensuring clear communication and expectation management. Oversee and mentor development teams (engineers, NLU specialists, QA) throughout the project lifecycle, ensuring adherence to architectural designs and quality standards. Proactively identify and mitigate project risks, resolving technical and operational roadblocks. Implement Agile methodologies (Scrum/Kanban) to ensure efficient and iterative development cycles. Define and oversee testing strategies, including unit, integration, user acceptance, and performance testing for conversational AI solutions. Collaborate with business analysts, product owners, and operations teams to ensure seamless solution adoption and measurable business impact. Provide expert guidance and troubleshooting support for complex technical issues. Required Qualifications: Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. 15+ years of progressive experience in software development, solution architecture, or technical consulting roles. 3-5+ years of hands-on experience designing and delivering Google CCAI solutions, with significant expertise in both CCAI Agent Assist and Dialogflow (ES/CX) . Deep understanding of Natural Language Understanding (NLU), Natural Language Generation (NLG), and conversational AI principles. Proven experience integrating Dialogflow solutions with various channels (e.g., Genesys, Twilio, Google Contact Center AI Partner Integrations). Strong proficiency in at least one programming language (e.g., Python, Node.js, Java) for custom integrations and fulfillment logic. Extensive experience with Google Cloud Platform (GCP) services, particularly those relevant to AI/ML and data pipelines. Demonstrated experience leading complex, cross-functional technical projects from concept to completion. Excellent communication, presentation, and interpersonal skills with the ability to articulate complex technical concepts to non-technical stakeholders. Strong analytical, problem-solving, and decision-making abilities. Preferred Qualifications: Master's degree in a relevant field. Google Cloud Professional Cloud Architect or Machine Learning Engineer certification. Experience with other Google AI services (e.g., Text-to-Speech, Speech-to-Text, Vertex AI). Familiarity with other contact center technologies and CRM platforms (e.g., Salesforce Service Cloud, Zendesk). Experience with pre-sales activities, including solutioning, effort estimation, and presenting to clients. Understanding of IT security, data privacy (e.g., GDPR, CCPA), and compliance best practices in a contact center context. Experience working in an Agile/Scrum environment.