We are looking for a hands-on Sr Conversational AI Engineer / Sr Chatbot Engineer with strong experience in Google CCAI, Dialogflow CX / Agent studio and enterprise voice-bot solutions . The candidate will design conversation flows, integrate voice bots with backend and telephony systems, and support production deployments.

Designation: Sr Conversational AI Engineer / Sr Chatbot Engineer

Location: Remote Work

Employment Type: Full Time

No of Openings: 3

Key Responsibilities:

- 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.

Required Skills and Experience:

- 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.
- Robust 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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📌 Sr Conversational AI Engineer / Sr Chatbot Engineer (India)
🏢 Techolution
📍 India