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.