ITTConnect
Google CCAI Developer (Dialogflow & Node.js)
ITTConnect, Atlanta, Georgia, United States, 30383
Job Description
ITTConnect is seeking a
Google Cloud Contact Center Developer - (Dialogflow & Node.js) to work for one of our clients.
This is a role with a global leader in consulting, digital transformation, technology and engineering services present in nearly 50 countries. The end client is in the Telecom business.
Job location: Hybrid in Atlanta, zip code 30328 (3 days per week in the office).
Key responsibilities:
Conversational Design & UX : Design conversational flows using Dialogflow CX, incorporating best practices for dialogue flow, branching logic, error handling, and persona development. GCP & Agent Assist Integration : Integrate Dialogflow CX with Agent Assist to provide real-time guidance and knowledge access to contact center agents. Plan for
custom integrations using APIs
and scripting languages (e.g., Python, JavaScript, Node.js). Debug and troubleshoot issues in conversational flows and integrations. Analyze data from Dialogflow CX to identify areas for improvement and measure success. Collaboration & Communication : Collaborate with cross-functional teams (including designers, engineers, and client stakeholders) to deliver high-quality conversational AI solutions. Effectively communicate technical concepts to both technical and non-technical audiences. Requirements
8+ years of experience in Application Development and at least 3+ years in the
Contact Center
space Minimum of 2 years of experience in
Node.js , as well as Git, Jira, etc. Good knowledge of
Google Cloud Platform CCAI
service, Dialog flow CX, and Agent Assist. Proficiency in using dialogue flow design tools like
Dialogflow CX , including fulfillment, integrations, webhooks, and analytics. Solid understanding of
GCP fundamentals
(Compute Engine, Cloud Storage, Cloud Functions, APIs). Knowledge of
GCP and GDF architecture Playbooks and GCP cloud run Experience in
Telco domain and processes . Experience with API integration (REST, gRPC) and Cloud Functions, as well as CI/CD pipelines. Should be able to follow Agile Scrum cadence.
Google Cloud Contact Center Developer - (Dialogflow & Node.js) to work for one of our clients.
This is a role with a global leader in consulting, digital transformation, technology and engineering services present in nearly 50 countries. The end client is in the Telecom business.
Job location: Hybrid in Atlanta, zip code 30328 (3 days per week in the office).
Key responsibilities:
Conversational Design & UX : Design conversational flows using Dialogflow CX, incorporating best practices for dialogue flow, branching logic, error handling, and persona development. GCP & Agent Assist Integration : Integrate Dialogflow CX with Agent Assist to provide real-time guidance and knowledge access to contact center agents. Plan for
custom integrations using APIs
and scripting languages (e.g., Python, JavaScript, Node.js). Debug and troubleshoot issues in conversational flows and integrations. Analyze data from Dialogflow CX to identify areas for improvement and measure success. Collaboration & Communication : Collaborate with cross-functional teams (including designers, engineers, and client stakeholders) to deliver high-quality conversational AI solutions. Effectively communicate technical concepts to both technical and non-technical audiences. Requirements
8+ years of experience in Application Development and at least 3+ years in the
Contact Center
space Minimum of 2 years of experience in
Node.js , as well as Git, Jira, etc. Good knowledge of
Google Cloud Platform CCAI
service, Dialog flow CX, and Agent Assist. Proficiency in using dialogue flow design tools like
Dialogflow CX , including fulfillment, integrations, webhooks, and analytics. Solid understanding of
GCP fundamentals
(Compute Engine, Cloud Storage, Cloud Functions, APIs). Knowledge of
GCP and GDF architecture Playbooks and GCP cloud run Experience in
Telco domain and processes . Experience with API integration (REST, gRPC) and Cloud Functions, as well as CI/CD pipelines. Should be able to follow Agile Scrum cadence.