Conversational AI Engineer

Candidate must be local to any of these states- VA /San Diego, CA or Florida. This individual will support the development and optimization of AI-powered chatbots and voice assistants, with a focus on post-transcriptional conversational processing using Azure Cognitive Services – CLU. Voice Pipeline Note: This role is responsible for post-transcription model tuning; voice-to-text is handled by a separate team • Collaboration: Cross-functional team environment involving data scientists, engineers, and analysts Responsibilities:The Conversational AI Engineer will be responsible for: • Designing and fine-tuning Conversational Language Understanding (CLU) models using Azure Language Studio • Training intents, entities, and utterances to improve chatbot and voice assistant accuracy • Implementing context handling for multi-turn conversations • Analyzing logs and transcripts from voice interactions to continuously improve model accuracy • Conducting unit, regression, and A/B testing to validate and enhance chatbot performance Qualifications: • 5 years of experience in Natural Language Processing (NLP) or Conversational AI • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field • Experience with Azure Cognitive Services – CLU and Azure Language Studio • Strong knowledge of NLU principles, including intent classification and entity extraction • Proven ability to analyze interaction data to optimize conversational models • Experience working with or around IVR and voice-interaction platforms • Excellent collaboration and communication skills • Detail-oriented and analytical approach to problem-solving Desired Skills: • 5+ years of experience in AI/ML or voice assistant development (preferred) • Master’s degree in a related field • Experience with Azure Bot Framework • Familiarity with speech-to-text (STT) and text-to-speech (TTS) services • Awareness of ethical AI practices and compliance standards Job Types: Full-time, Contract Pay: $60.00 - $68.00 per hour Schedule: 8 hour shift Work Location: Hybrid remote in Vienna, VA 22180