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Conversational AI Engineer – Google Conversational AI & RAG Technology
Conversational AI Engineer – Google Conversational AI & RAG TechnologyVDart Inc • Hartford, CT, United States
Conversational AI Engineer – Google Conversational AI & RAG Technology

Conversational AI Engineer – Google Conversational AI & RAG Technology

VDart Inc • Hartford, CT, United States
15 hours ago
Job type
  • Temporary
  • Quick Apply
Job description

Role : Conversational AI Engineer Google Conversational AI & RAG Technology.

Location : Hartford, CT (Onsite).

Duration : Long Term Contract.

Join the Client IT Delivery Data, Digital, Analytics, and Technology (DDAT) division as a Conversational AI Engineer specializing in Google Conversational AI platforms and Retrieval Augmented Generation (RAG). You will design, develop, and optimize cutting-edge conversational experiences that empower members and providers with reliable, context-aware health insurance answers through digital channels.

Key Responsibilities :

  • Design and build advanced conversational flows using Google Dialogflow CX and Vertex AI, focusing on context-sensitive intent fulfillment.
  • Implement Retrieval Augmented Generation by integrating enterprise APIs and external knowledge bases to generate accurate, dynamic responses.
  • Apply industry best practices for AI conversation design, clean coding, and reusable NLP patterns.
  • Collaborate with UI / UX, backend, and data engineering teams to develop integration points and conversational triggers.
  • Lead full lifecycle chatbot development from design to deployment, testing, and ongoing enhancements.
  • Ensure seamless multi-platform delivery (web, mobile, voice) leveraging Google Cloud APIs and technologies.
  • Utilize Google's NLP and speech-to-text capabilities, enhancing dialog accuracy and natural language understanding.
  • Continuously research emerging generative AI and conversational innovations to maintain solution excellence.
  • Tune speech recognition and text-to-speech models with advanced Speech Synthesis Markup Language (SSML) techniques.

Required Qualifications :

  • 3+ years in software engineering with 2+ years focused on chatbot development using Google Dialogflow CX, Vertex AI, or equivalent platforms.
  • Strong expertise in NLP best practices and intent training data curation.
  • Experience with enterprise AI / chatbot frameworks and backend integration.
  • Knowledge of Retrieval Augmented Generation (RAG) and external knowledge source integration.
  • Familiarity with DevOps, CI / CD, Git workflows, and cloud deployments (preferably GCP).
  • Proficiency in backend programming (Java, Node.js, Python) and frontend development (JavaScript / TypeScript).
  • Agile working experience with end-to-end software development lifecycle understanding.
  • Preferred Qualifications :

  • Prior experience with Google Cloud Speech-to-Text and Vertex AI Search.
  • Skill in SSML tagging for TTS refinement.
  • Experience integrating unstructured data and semantic document search with conversational agents.
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    Ai Engineer • Hartford, CT, United States

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