9 Ccai Jobs

Role: CCAI Development Fulltime (Work from office Mon-Fri) Location: Hyderabad/Bangalore/Pune Dialogflow, CCAI Development, Conversation design, Python,QA. Contact Center AI Platform CI/CD, You will be responsible for leading the technical vision, architecture, and development of conversational AI applications that leverage natural language understanding, speech synthesis, and generative models. Define and execute the technical strategy and roadmap for Google Cloud Contact Center AI and Generative AI projects. Design and develop conversational AI applications using Google Cloud products such as Dialogflow, CCAI Agent Assist, CCAI Insights, Speech-to-Text, Text-to-Speech, and CCAI Platform

As a Delivery Manager/Solution Architect specializing in Google Dialogflow and CCAI, you will be responsible for utilizing your 12+ years of experience to design and deliver cutting-edge solutions in a hybrid role based in Bangalore, Pune, Gurugram, or Noida. Your primary qualifications include a Bachelor's degree in computer science, engineering, information technology, or a related field, along with at least 6 years of progressive experience in software development or technical consulting. You should have a minimum of 3-5 years of hands-on experience in designing and implementing Google CCAI solutions, specifically focusing on CCAI Agent Assist and Dialogflow (ES/CX). A deep understanding of Natural Language Understanding (NLU), Natural Language Generation (NLG), and conversational AI principles is essential. You should possess strong proficiency in at least one programming language such as Python, Node.js, or Java for custom integrations and fulfillment logic. Extensive experience with Google Cloud Platform (GCP) services relevant to AI/ML and data pipelines is required. Additionally, you must have a proven track record of integrating Dialogflow solutions with various channels like Genesys, Twilio, and Google Contact Center AI Partner Integrations. Demonstrated experience in leading complex, cross-functional technical projects from inception to completion is crucial. Your excellent communication, presentation, and interpersonal skills will be essential in effectively conveying complex technical concepts to non-technical stakeholders. Strong analytical, problem-solving, and decision-making abilities are also key traits for this role. Preferred qualifications for this position include a Master's degree in a relevant field, Google Cloud Professional Cloud Architect or Machine Learning Engineer certification, and experience with other Google AI services like Text-to-Speech, Speech-to-Text, and Vertex AI. Familiarity with other contact center technologies and CRM platforms such as Salesforce Service Cloud and Zendesk is beneficial. Experience with pre-sales activities, including solutioning, effort estimation, and client presentations, is a plus. A solid understanding of IT security, data privacy (e.g., GDPR, CCPA), and compliance best practices within a contact center context is highly desirable. Ideally, you should have experience working in an Agile/Scrum environment to effectively manage projects and deliver high-quality solutions.,

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education As an AI/ML technical lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities: - Design and develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist. - Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services - Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya - Integrate with IVR systems and Proficiency in webhook setup and API integration. - Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks. - Creation of agents in Agent builder and integrating them into end end to pipeline using python. - Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. - Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities - Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions. - Document technical designs, processes, and setup for various integrations. - Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding. - Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms and techniques. - Experience with chatbot , generative AI models, prompt Engineering - Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: - The candidate should have a minimum of 7 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI. - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. - A 15 years full time education is required Show more Show less

Role & responsibilities: Design, develop, and deploy chatbots and voice bots utilizing leading Conversational AI platforms such as Microsoft Bot Framework, Google CCAI, and Dialogflow CX. Craft clean, efficient, and maintainable code adhering to industry best practices and standards. Develop custom components and tools to optimize the functionality and performance of our chatbot ecosystem. Collaborate closely with developers, designers, and other stakeholders to meet project requirements and user expectations. Leverage natural language processing (NLP), LLM, and machine learning (ML) techniques, including TTS, STT, and SSML, to enable our chatbots to comprehend and respond intelligently to user inputs. Integrate chatbot systems seamlessly with backend systems, databases, and APIs to facilitate smooth data exchange and interactions. Investigate and resolve complex technical issues by analysing logs and debugging code for continuous improvement. Stay ahead of the curve by keeping up-to-date with the latest trends and advancements in chatbot development. Preferred candidate profile: 4+ years of hands-on experience with the Google Cloud Contact Center AI Bot framework. Proficient in Natural Language Processing (NLP), Natural Language Understanding (NLU), Machine Learning (ML), and Conversational AI. Extensive experience with the new LLM (playbook) feature in Dialogflow CX, as well as traditional Dialogflow CX functionalities. Solid understanding of Google as a Software-as-a-Service platform. Experience with Azure Composer Bots. Proven troubleshooting and analytical skills in complex, distributed environments. Familiarity with SQL and experience working with relational databases. Experience integrating web services into applications. Proficient in Agile and Scrum development methodologies. Bachelors degree in a technology-related field or equivalent experience.

Role: CCAI Development Fulltime (Work from office Mon-Fri) Location: Hyderabad Dialogflow, CCAI Development, Conversation design, Python,QA. CI/CD, You will be responsible for leading the technical vision, architecture, and development of conversational AI applications that leverage natural language understanding, speech synthesis, and generative models. Define and execute the technical strategy and roadmap for Google Cloud Contact Center AI and Generative AI projects. Design and develop conversational AI applications using Google Cloud products such as Dialogflow, CCAI Agent Assist, CCAI Insights, Speech-to-Text, Text-to-Speech, and CCAI Platform

Job Description Miratech as a trusted partner seeks a CCAI BOT Developer to join our team remotely. This project focuses on developing and implementing advanced conversational AI solutions using the Google CCAI Bot framework. Scrum teams, including IVR and chatbot developers, collaborate to build intelligent voice bots and chatbots that enhance customer interactions in contact centers. The project integrates NLP, NLU, and machine learning technologies with backend systems, databases, and APIs to create scalable, high-performance solutions. It utilizes CI/CD pipelines, agile methodologies, and enterprise-scale technologies like Google Dialogflow, Genesys, and Nuance Mix Tools. Developers also work with REST-based microservices and automated testing to ensure reliability and continuous improvement of the chatbot ecosystem. Responsibilities: Design, develop, and deploy chatbots and voicebots using leading Conversational AI platforms such as Microsoft Bot Framework and Google Dialogflow. Write clean, efficient, and maintainable code following industry best practices and standards. Develop custom components and tools to enhance chatbot functionality, performance, and user experience. Collaborate with cross-functional teams, including developers, designers, and stakeholders, to align chatbot solutions with project goals and user needs. Utilize NLP and ML techniques, including TTS, STT, and SSML, to enable intelligent and context-aware chatbot interactions. Integrate chatbot systems with backend infrastructure, databases, and APIs to ensure seamless data flow and interaction. Troubleshoot and resolve technical issues by analyzing logs, debugging code, and implementing continuous improvements. Stay updated with emerging trends and advancements in chatbot development, AI, and Conversational UI technologies. Qualifications 3+ years of experience with the Google CCAI Bot framework, Dialogflow ES/CX, and Conversational AI technologies, including NLP, NLU, and ML. 3+ years of experience in IVR application development, including Nuance grammar development. Expertise in web services integration, including working with SQL databases, relational databases, and RESTful APIs. Experience with Google, Genesys, and related technologies, including GVP, Nuance Mix Tools. Strong understanding of agile development and Scrum best practices. Strong analytical skills for resolving technical issues in complex, distributed environments. Bachelors degree in a technology-related field or equivalent professional experience. Nice to have: Hands-on experience with Git, Jenkins, Maven, and automated testing methodologies. Experience with Genesys Composer We offer: Culture of Relentless Performance : join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth. Competitive Pay and Benefits : enjoy a comprehensive compensation and benefits package, including health insurance, language courses, and a relocation program. Work From Anywhere Culture : make the most of the flexibility that comes with remote work. Growth Mindset : reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities. Global Impact : collaborate on impactful projects for top global clients and shape the future of industries. Welcoming Multicultural Environment : be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. Social Sustainability Values : join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality. * Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law. Additional Information All your information will be kept confidential according to EEO guidelines.

Role & responsibilities Design, develop, and deploy chatbots and voicebots using leading Conversational AI platforms such as Microsoft Bot Framework and Google Dialogflow. Write clean, efficient, and maintainable code following industry best practices and standards. Develop custom components and tools to enhance chatbot functionality, performance, and user experience. Collaborate with cross-functional teams, including developers, designers, and stakeholders, to align chatbot solutions with project goals and user needs. Utilize NLP and ML techniques, including TTS, STT, and SSML, to enable intelligent and context-aware chatbot interactions. Integrate chatbot systems with backend infrastructure, databases, and APIs to ensure seamless data flow and interaction. Troubleshoot and resolve technical issues by analyzing logs, debugging code, and implementing continuous improvements. Stay updated with emerging trends and advancements in chatbot development, AI, and Conversational UI technologies. Qualifications 4+ years of experience with the Google CCAI Bot framework, Dialogflow ES/CX, and Conversational AI technologies, including NLP, NLU, and ML. 4+ years of experience in IVR application development, including Nuance grammar development, GRAT, and GRE. Proficiency in Core Java, Java/J2EE, Servlets, JSP, and REST-based microservices. Expertise in web services integration, including working with SQL databases, relational databases, and RESTful APIs. Experience with Google, Genesys, and related technologies, including GVP, Nuance Mix Tools, and Genesys Composer. Hands-on experience with Git, Jenkins, Maven, and automated testing methodologies. Strong understanding of agile development and Scrum best practices. Strong analytical skills for resolving technical issues in complex, distributed environments. Experience with the Spring framework and familiarity with Tomcat or similar web servers. Bachelors degree in a technology-related field or equivalent professional experience.

Experienced Google Dialog flow/ CCAI for defining the technical vision, designing robust solutions, and leading the end-to-end delivery of Google Contact Center AI, primary focus on CCAI Agent Assist and Dialogflow CX.

Job Description We are seeking an enthusiastic and communicative Solution Architect to lead the design and implementation of voice solutions on the Google Platform. This role requires deep expertise in system architecture, API integrations, and data mapping while collaborating with cross-functional business and development teams. The Solution Architect will oversee new projects from conception to delivery, ensuring best practices, scalability, and compliance with business and technical requirements. Key Responsibilities: Design end-to-end solutions that align with enterprise environments and business needs. Establish and promote best practices, reusable design patterns, and architectural standards. Create clear and concise documentation, including backend integration specifications, business logic implementation details, and high-level architecture designs. Identify the APIs needed (Analysis and onboarding, API request/response structures, and DTO classes). Also designing high level design for the middleware teams to enable them to produce MW services. Act as a liaison between business stakeholders and development teams to translate business requirements into technical solutions. Work closely with engineers to support the implementation of designed solutions. Engage proactively with external teams to ensure alignment and successful project execution. Tune voice solutions for optimal performance, leveraging best practices in configuration and AI/ML-powered speech recognition systems. Qualifications Over 5 years of proven experience as a Solution Architect, preferably in voice-based solutions and cloud platforms. 3+ years of experience with Google Dialogflow CX and large language models (LLM). Experience with designing secure and scalable backend integrations. Deep knowledge of IVR/bot systems Deep understanding of voice solution architecture, including VXML, ASR, and NLP-based interactions. Proficiency in API development, API integrations, authentication mechanisms (OAuth, certificates), and data mapping. Proficient in managing the transfer and storage of conversational data between platforms. Hands-on experience designing call flows using Visio or Idraw.io. Design and documentation skills tailored to meet the specific business needs of enterprise solutions. Excellent communication and collaboration skills. Experience working with business stakeholders to define requirements and deliver solutions. Nice to have: Hands-on experience in development and implementation solution in Google CCAI Background in AI-driven speech processing and conversational AI solutions. Prior experience in an Agile development environment.