A technology firm in the United States is seeking a candidate to design and build AI-driven customer engagement solutions. The role requires expertise in Google Customer Engagement Suite, Dialogflow CX, and experience with Python or JavaScript. Responsibilities include developing conversational AI, integrating systems via APIs, and implementing services on Google Cloud. Candidates should have a strong background in conversational AI and NLP fundamentals, with knowledge of GCP architecture being a plus.
Qualifications
Hands-on experience with Google CES/CCAI and Dialogflow CX.
Proficiency in Python or JavaScript.
Experience with GCP and REST API integrations.
Understanding of Conversational AI and NLP fundamentals.
Responsibilities
Design and build AI-driven customer engagement solutions using Google CES.
Develop conversational AI using Dialogflow CX / CCAI.
Build and tune NLP models, intents, and flows.
Integrate CES with enterprise systems via APIs.
Implement AI services on GCP.
Monitor and optimize AI performance and conversation analytics.
Skills
Google CES / CCAI
Dialogflow CX
Python
JavaScript
GCP
REST API integrations
Conversational AI
NLP fundamentals
Tools
Dialogflow CX
Job description
Top must have's:
Hands-on Google CES / CCAI, Dialogflow CX
Python or JavaScript
GCP and REST API integrations
Conversational AI / NLP fundamentals
Role Summary
Design and build AI-driven customer engagement solutions using Google Customer Engagement Suite (CES), including conversational AI, virtual agents, and agent assist.
Key Responsibilities
Develop conversational AI using Dialogflow CX / CCAI
Build and tune NLP models, intents, and flows
Integrate CES with enterprise systems via APIs
Implement AI services on GCP (Cloud Functions/Run, Pub/Sub)
Monitor and optimize AI performance and conversation analytics