Job description

About us At Radiant Digital, we deliver innovative IT solutions and consulting services to government agencies and businesses across the USA, Canada, the Middle East, and Southeast Asia. On the federal side, we collaborate with agencies such as NASA, the Department of State (DOS), the IRS, ACL, ACF, USDA, and many others, as well as numerous state and local government entities. Beyond government, we serve industries like telecom, healthcare, entertainment, and oil & gas, providing tailored solutions that enhance system efficiency, optimize data utilization, and modernize applications to stay ahead in dynamic markets. Title: Conversational AI Engineer (AI Azure Cognitive Services/CLU) Location: Vienna, VA • We are looking for a Conversational AI Engineer to design, build, and optimize AI-powered chatbots and voice assistants using Azure Bot Framework and Conversational Language Understanding (CLU). This role will focus on training, tuning, and analyzing AI models for voice-based interactions, ensuring seamless and intelligent user experiences. The primary focus of this role will be post-transcription. The voice to text side will be handled by another team. • The ideal candidate has expertise in natural language processing (NLP), Azure Cognitive Services CLU specifically, and tuning and training a model that is receiving requests that were initiated within a voice IVR style platform. • A Conversational AI Engineer will be responsible for designing, developing, and optimizing the models within Azure Cognitive Services. Their work focuses on natural language understanding (NLU) and system integration to ensure smooth and effective human-AI interactions. • Experience with Azure Cognitive Services - CLU (Conversational Language Understanding) • Experience continuously improving chatbot performance via analysis to improve experience and model accuracy • Prior experience with voice channel and transcription that is fed into a chatbot • Builds and fine-tunes Conversational Language Understanding (CLU) models in platforms like Azure Language Studio. • Trains intents, entities, and utterances for better chatbot comprehension. • Implements context handling to maintain conversation flow across multiple turns. • Speech & Voice AI Integration (for Voice Bots) • Integrates speech-to-text (STT) and text-to-speech (TTS) services for voice-based interactions.

Requirements