Overview
On Site
Depends on Experience
Full Time
Skills
Conversational AI Engineer
Azure Bot Framework
Conversational Language Understanding (CLU
natural language processing (NLP)
natural language understanding (NLU)
human-AI interactions
Integrates speech-to-text (STT) and text-to-speech (TTS)
Job Details
About Beacon Systems, Inc
Beacon Systems, Inc, delivers Program Management, Science, Engineering, and Technology Solutions to Federal, Commercial, State, and Local Agencies. We are a subsidiary of Radiant Digital Solutions. Our Technology support to many DoD Agencies, NASA, Voice of America, FDA, and State Agencies such as State of FL, RI, MS, ND, VA, and WV extends our delivery of solutions worldwide.
Position: Conversational AI Engineer with Azure requirement
Duration: Long term
Location: Onsite - Vienna, VA
Job Description:
- 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.
Compensation
Compensation for roles at Beacon Systems Inc depending on a wide array of factors including, but not limited to, the specific office location, role, skill set, and level of experience.
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