Conversational AI / Google Dialogflow CX Developer

Job Description – Conversational AI Developer

• Job Title: Conversational AI / Google Dialogflow CX Developer

• Location: Thousand Oaks, CA

• Duration: 6 months

• GBaMS ReqID: 10997840

• Experience Required: 4–6 years

• Role: Developer

• Essential Skill: Generative AI

• Primary Focus: Google Dialogflow CX, CCAI, Chatbot/Voicebot, Google Cloud, Node.js, BigQuery, SQL, and AI development

Must-Have Skills

• Google Dialogflow CX

• CCAI (Contact Center AI)

• Looker Studio / Google Data Studio

• AI Development

• Google Cloud Certification

• Node.js

• BigQuery

• SQL

• Programming language experience

Good-to-Have Skills

• Generative AI

• AWS

• Python

• NLP

• Voicebot development

• Chatbot development

• Life Sciences domain experience

Key Responsibilities

• DevelopChatbots and Voicebots using Google Cloud Dialogflow CX.

• Design and implement conversational AI solutions using:

  • Intents

  • Entities

  • Training phrases

  • Fulfillment logic

  • Webhooks

  • APIs

• Develop dashboards and analytics using:

  • Looker Studio

  • SQL

  • BigQuery

• Integrate conversational bots with:

  • Google Cloud Functions

  • Firestore

  • Third-party APIs

• Implement multi-turn conversations, error handling, contextual routing, and optimized conversational experiences.

• Develop and maintain webhook and fulfillment logic usingNode.js or Python.

• Continuously improve conversational design based on analytics and user interaction insights.

• Design and contribute toConversational AI architecture.

• Collaborate with system owners, business owners, and stakeholders to align chatbot objectives with business requirements.

• Participate in Agile ceremonies, including:

  • Sprint planning

  • Daily stand-ups

  • Backlog refinement

  • Sprint reviews/retrospectives

• UseJIRA for development tasks, defect tracking, and resolution.

• Develop and manage end-to-endCI/CD pipelines using GitLab.

• Follow DevOps practices for application development and deployment.

• Collaborate with cross-functional teams to assess the impact of integrated systems.

• Provide guidance on required testing activities and validation processes.

• Ensure timely delivery while maintaining quality and compliance standards.

• Contribute to the technical growth of the team through knowledge sharing and collaboration.

• Stay current with industry trends and emerging technologies in conversational AI and Generative AI.

• Support business development opportunities by identifying relevant AI solutions and innovations.

Technical Skills

• Google Dialogflow CX

• Google CCAI

• Conversational AI

• Generative AI

• Chatbot Development

• Voicebot Development

• Google Cloud Platform (GCP)

• Google Cloud Functions

• Firestore

• BigQuery

• SQL

• Looker Studio

• Node.js

• Python

• NLP

• REST APIs / Webhooks

• GitLab

• CI/CD

• DevOps

• JIRA

Behavioral & Collaboration Skills

• Strong stakeholder communication and collaboration.

• Ability to work with cross-functional and distributed teams.

• Strong analytical and problem-solving skills.

• Ability to work effectively in an Agile environment.

• Focus on quality, compliance, and timely delivery.

• Willingness to learn and adopt emerging AI technologies.

• Demonstrates inclusive behavior and promotes a high-performing team culture.

Keywords

• Dialogflow CX

• Google CCAI

• Conversational AI

• Generative AI

• GenAI

• Chatbot

• Voicebot

• Google Cloud

• GCP

• Looker Studio

• BigQuery

• SQL

• Node.js

• Python

• NLP

• AI Development

• Google Cloud Functions

• Firestore

• Webhooks

• API Integration

• CI/CD

• GitLab

• DevOps

• JIRA

• Life Sciences

• Conversational AI Architecture