All fields marked * are required
Job Details:
Position : Google Agent Assist Fullstack Developer
Experience : 7+ Years
Location : Noida/Gurgaon/Pune/Bangalore
Job Description:
Role- Permanent/ Full time
Shift- 1:00 PM to 11: 00 PM (10 Hours Shift. Also depends on the project/work dependencies)
Working Days- 5 days
Work Mode- Hybrid
About the Role:
We are looking for an experienced and innovative Google CCAI Developer with 5–6 years of hands-on experience in building intelligent virtual agents and real-time AI solutions. You will play a key role in developing and enhancing customer experience using Google Cloud's Contact Center AI (CCAI) technologies, including Dialogflow, Generative AI, Agent Assist, Insights, and UJET integration.
Key Responsibilities:
Design, develop, and deploy virtual agents using Dialogflow CX/ES for voice and chat-based customer service.
Leverage Generative AI capabilities (Playbooks, Generators, and Data Stores) to build advanced conversational flows and personalized responses.
Integrate with the Google CCAI Platform and third-party systems like UJET to deliver scalable, production-grade contact center solutions.
Implement Agent Assist functionalities, including real-time transcription, intent detection, article suggestions, and automatic summarization to support live agents.
Utilize CCAI Insights to analyze agent-customer interactions, extract actionable trends, and drive continuous improvements.
Work closely with cross-functional teams (data engineers, cloud architects, QA) to ensure seamless deployment and ongoing maintenance.
Troubleshoot production issues and optimize agent flows for performance and accuracy.
Stay up to date with Google Cloud’s AI roadmap and contribute to AI/ML best practices within the team.
Required Qualifications:
Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field.
5–6 years of professional experience in conversational AI development, with 2–3+ years in Google CCAI ecosystem.
Strong experience with Dialogflow CX and ES, including intent/entity design, context handling, webhook integration, and fulfillment.
Practical experience with Generative AI in Google Cloud (Playbooks, Generators, Data Stores).
Hands-on experience with UJET or similar platforms integrated with CCAI.
Expertise in Agent Assist APIs, real-time transcription, and summarization models.
Proficiency in programming languages like Python, Node.js, or JavaScript.
Familiarity with GCP services (e.g., Cloud Functions, Pub/Sub, Cloud Run, BigQuery) and cloud-based CI/CD practices.
Preferred Qualifications:
Google Cloud certification (e.g., Professional Cloud Developer, CCAI Engineer).
Knowledge of contact center operations and KPIs.
Experience with conversational analytics and optimization.
Exposure to data privacy, security, and compliance requirements in regulated environments.
Soft Skills:
Strong communication and stakeholder management skills.
Ability to work in a fast-paced, agile environment.
Analytical thinker with a passion for improving customer experience through AI.
Required
Preferred
All fields marked * are required
Job Details:
Position : Google Agent Assist Fullstack Developer
Experience : 7+ Years
Location : Noida/Gurgaon/Pune/Bangalore
Job Description:
Role- Permanent/ Full time
Shift- 1:00 PM to 11: 00 PM (10 Hours Shift. Also depends on the project/work dependencies)
Working Days- 5 days
Work Mode- Hybrid
About the Role:
We are looking for an experienced and innovative Google CCAI Developer with 5–6 years of hands-on experience in building intelligent virtual agents and real-time AI solutions. You will play a key role in developing and enhancing customer experience using Google Cloud's Contact Center AI (CCAI) technologies, including Dialogflow, Generative AI, Agent Assist, Insights, and UJET integration.
Key Responsibilities:
Design, develop, and deploy virtual agents using Dialogflow CX/ES for voice and chat-based customer service.
Leverage Generative AI capabilities (Playbooks, Generators, and Data Stores) to build advanced conversational flows and personalized responses.
Integrate with the Google CCAI Platform and third-party systems like UJET to deliver scalable, production-grade contact center solutions.
Implement Agent Assist functionalities, including real-time transcription, intent detection, article suggestions, and automatic summarization to support live agents.
Utilize CCAI Insights to analyze agent-customer interactions, extract actionable trends, and drive continuous improvements.
Work closely with cross-functional teams (data engineers, cloud architects, QA) to ensure seamless deployment and ongoing maintenance.
Troubleshoot production issues and optimize agent flows for performance and accuracy.
Stay up to date with Google Cloud’s AI roadmap and contribute to AI/ML best practices within the team.
Required Qualifications:
Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field.
5–6 years of professional experience in conversational AI development, with 2–3+ years in Google CCAI ecosystem.
Strong experience with Dialogflow CX and ES, including intent/entity design, context handling, webhook integration, and fulfillment.
Practical experience with Generative AI in Google Cloud (Playbooks, Generators, Data Stores).
Hands-on experience with UJET or similar platforms integrated with CCAI.
Expertise in Agent Assist APIs, real-time transcription, and summarization models.
Proficiency in programming languages like Python, Node.js, or JavaScript.
Familiarity with GCP services (e.g., Cloud Functions, Pub/Sub, Cloud Run, BigQuery) and cloud-based CI/CD practices.
Preferred Qualifications:
Google Cloud certification (e.g., Professional Cloud Developer, CCAI Engineer).
Knowledge of contact center operations and KPIs.
Experience with conversational analytics and optimization.
Exposure to data privacy, security, and compliance requirements in regulated environments.
Soft Skills:
Strong communication and stakeholder management skills.
Ability to work in a fast-paced, agile environment.
Analytical thinker with a passion for improving customer experience through AI.
Required
Preferred