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Salary
≈ $23k – $52k per year (Estimated)
Location
Remote (likely India)
Seniority
Senior · 3+ years exp

First seen by Alion on Sep 5, 2026.

Overview
Company
Impact
Profile match
Techolution is an IT consulting company that builds AI-powered applications and delivers digital transformation services. Its openings include Python AI engineers working with generative AI, LLMs and vector databases, application security engineers and managed services project managers. The company is headquartered in Mumbai, India.

About the Role :

We are looking for a Senior Conversational AI Engineer with strong hands-on experience building and supporting enterprise conversational and voice AI solutions using Google Dialogflow CX and the Google CCAI / Customer Engagement ecosystem.

This is a hands-on engineering role for someone who has worked on real enterprise contact-center implementations that have gone into production.

What You Will Do :

- Design and develop enterprise voice and conversational AI solutions using Dialogflow CX and Google CCAI / Customer Engagement technologies.

- Build complex Dialogflow CX implementations covering flows, pages, intents, entities, routes, parameters, session handling, fulfillment, fallbacks and multi-turn conversations.

- Modernize traditional IVR/contact-center journeys into AI-powered voice and conversational experiences.

- Design conversational journeys for use cases such as customer service, self-service, transactional workflows and human-agent escalation.

- Integrate Dialogflow/Google conversational solutions with contact-center and telephony platforms such as Genesys, NICE CXone, Cisco or similar enterprise platforms.

- Implement live-agent handoff, context/session transfer and escalation between virtual agents and human agents.

- Integrate conversational solutions with enterprise systems through REST APIs, webhooks and fulfillment services using Python and/or Node.js.

- Work with STT/TTS and enterprise voice integrations for production voice-bot implementations.

- Use Gemini, Vertex AI and Google generative conversational capabilities to enhance customer interactions.

- Design and implement RAG/enterprise knowledge retrieval patterns to provide grounded responses and reduce hallucinations.

- Apply appropriate deterministic vs. generative conversational patterns based on the business use case, risk and customer experience.

- Troubleshoot production issues across conversational flows, integrations, APIs, voice/telephony and LLM-based components.

- Participate directly in client discovery and translate business/contact-center requirements into practical conversational solution designs.

- Work with architects, backend engineers, cloud/data teams and client stakeholders from design through production implementation and support.

Tech Stack :

- Dialogflow CX, Google CCAI, Gemini, Vertex AI, RAG, Python, Node.js, REST APIs, Webhooks, STT/TTS, Genesys, NICE CXone, Cisco.

Skills

Machine Learning, Conversational AI, Dialogflow, Python, Generative AI

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