Senior Conversational AI Engineer - Google Dialogflow CX/ Agent Studio

• Design, develop, and deploy enterprise conversational AI solutions using Google CCAI, Dialogflow CX, and CX Agent Studio.
• Build sophisticated conversational experiences using intents, entities, parameters, routes, event handlers, fulfillment, and multi-turn conversations.
• Translate business and contact-center requirements into scalable, secure, and production-ready CCAI solution architectures.
• Modernize legacy IVR systems into intelligent, natural, and personalized voice experiences.
• Integrate Speech-to-Text and Text-to-Speech technologies into enterprise voice applications.
• Develop APIs, webhooks, fulfillment services, and backend components using Python or Node.js.
• Integrate voice bots with enterprise systems such as CRMs, databases, knowledge bases, ticketing platforms, and internal APIs.
• Connect conversational AI solutions with telephony and contact-center platforms such as NICE CXone, Cisco, Genesys, or similar technologies.
• Use Gemini, Vertex AI, RAG, and agentic AI patterns for knowledge retrieval, reasoning, response generation, summarization, and automation.
• Implement authentication, session management, error handling, logging, monitoring, and fallback strategies.
• Troubleshoot conversation flows, voice quality, telephony integrations, latency, and production issues.
• Collaborate with business, product, engineering, and contact-center stakeholders to deliver measurable customer-experience improvements.
• Follow engineering best practices for testing, version control, CI/CD, security, observability, and production deployment.

• Strong hands-on development experience with Dialogflow CX and Google CCAI.
• Proven ability to independently build complex flows involving intents, entities, parameters, pages, routes, event handlers, fulfillment, and multi-turn conversations.
• Experience designing and deploying production-grade enterprise voice bots, not just prototypes or proofs of concept.
• Ability to define high-level solution architectures by selecting and connecting the appropriate Google Cloud, AI, telephony, and enterprise services.
• Experience modernizing legacy IVR systems or delivering enterprise contact-center transformation programs.
• Hands-on experience with Speech-to-Text, Text-to-Speech, call flows, DTMF, call routing, escalation, and live-agent handoff.
• Backend development and integration experience using Python or Node.js, including REST APIs, HTTPS endpoints, webhooks, and fulfillment services.
• Experience integrating conversational AI solutions with telephony or contact-center platforms.
• Experience with Gemini, Vertex AI, or another enterprise LLM platform.
• Good understanding of cloud deployment, security, logging, monitoring, and production support.
• Strong analytical and problem-solving skills, with the ability to translate business requirements into practical AI solutions.
• Strong communication skills, with the ability to explain solutions to technical and non-technical stakeholders.

Preferred Qualifications:

• Experience delivering at least 2-3 enterprise CCAI or production voice-bot implementations in high-scale environments.
• Experience with Google Customer Engagement Suite, CX Agent Studio, Conversational Agents, or Agent Assist.

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