Primary Skill

Dialog flow CXConversational Developer with experience in enterprise-level conversational AI agents. Expert in conversational design best practices Experience in NLU tuning Experience in utilizing Dialog flow CX's Generative AI capabilities Experience in webhook development (NodeJS/Python) Git, CI/CD experience.

Dialog FlowCX:Intermediateknowledge, should understandintents and routine

-Generative playbook:Intermediate level, ability to debug and troubleshoot the issue within playbook instruction

-AI Application datastore:Intermediate level, ability to understandindexing, debug the missing or non indexed URLs and recrawl them

-Valuable to have Intermediate knowledge of Voice bot designing

- Agent Development:Design and build complex, flow-based conversational agents using Dialogflow CX, including configuring intents, entities, training phrases, and flows.




- NLU Optimization:Train and fine-tune natural language understanding models using Standard or Advanced NLU to ensure accurate intent detection.
- Fulfillment & Webhooks:Implement custom fulfillment (webhooks) to connect virtual agents with backend systems (e.g., database lookup, CRM) for personalized interactions.
- Voice/IVR Integration:Integrate Dialogflow CX with telephony/IVR platforms (using SIP/SIPREC) to create voice-based virtual agents.
- Generative AI Implementation: Leverage Generative AI, generators, and data stores to create more dynamic, conversational, and context-aware agents.
- Testing and QA:Create test cases, manage versions, and use environment settings to test agent performance before production deployment.
- Analytics & Optimization:Use CCAI Insights to analyze call drivers, sentiment, and identify areas for improvement.

📌 CX Agent Studio (CXAS) agents (India)
🏢 Tata Consultancy Services
📍 India