Google CCAI BOT Developer

2 Months ago • All levels

Job Summary

Job Description

Miratech is seeking a CCAI BOT Developer to work remotely on a project developing advanced conversational AI solutions using the Google CCAI Bot framework. The role involves building intelligent voice bots and chatbots to enhance customer interactions in contact centers. Developers will integrate NLP, NLU, and machine learning with backend systems to create scalable solutions, using CI/CD pipelines, agile methodologies, and enterprise-scale technologies. Responsibilities include designing, developing, and deploying chatbots, writing clean code, collaborating with teams, integrating with backend systems, and staying updated with the latest technologies.
Must have:
  • Design, develop, and deploy chatbots using Conversational AI platforms.
  • Write clean, efficient, and maintainable code.
  • Collaborate with cross-functional teams.
  • Utilize NLP and ML techniques.

Job Details

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.

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