Conversational AI Engineer – Google Conversational AI & RAG Technology at VDart Inc

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 Googles 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 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. Key Skills Catering,Apache Commons,Agricultural,Entry Level Finance,Application Support Employment Type : Full Time Experience: years Vacancy: 1