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.

**Hybrid in Vienna, VA; Pensacola, FL; or Winchester, VA 2 days per week**

Benefits:
• Comprehensive Medical, Dental, and Vision Insurance
• Employer-Paid Life Insurance
• Employer-Paid Short-Term and Long-Term Disability Insurance
• 401(k) Plan with Immediate Vesting eligibility on the first of the month following start date
• Paid Time Off (PTO) that includes Vacation Leave, Sick Leave, and 11 Paid Holidays
• Educational Assistance

Salary: $90-120K

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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.

• Conversational Model Development
  
  • 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.
  • Only responsible for the post-transcription side of tuning, experience on the voice side would be helpful but not necessary for this role
• Optimization & Tuning
  
  • Continuously improves chatbot performance by analyzing user interactions and model accuracy.
• Testing & Debugging
  
  • Conducts unit testing, regression testing, and A/B testing to validate bot performance.
  • Identifies and fixes misclassifications, intent overlaps, and response errors.
  • Uses analytics tools to track user behavior and refine interactions.
• Security & Compliance
  
  • Ensures compliance with AI ethics policies.
• Collaboration & Continuous Learning
  
  • Works with data scientists and software engineers to enhance chatbot capabilities.
  • Stays updated on NLP advancements, Azure AI updates, and emerging conversational AI trends.
  • Communicates chatbot performance insights
• Perfom other duties as assigned

• Bachelor’s degree in Computer Science, Data Science, Computational Linguistics, or a related field; equivalent work experience may be considered

• 2+ years of experience developing conversational AI or chatbot systems, preferably within Azure Cognitive Services or similar NLP platforms

• Hands-on experience training and optimizing Conversational Language Understanding (CLU) models, including intent classification, entity recognition, and multi-turn conversation handling

• Familiarity with Azure Language Studio, LUIS, or other NLU tools for building and fine-tuning AI models

• Understanding of speech AI concepts such as speech-to-text (STT) and text-to-speech (TTS); experience tuning models post-transcription preferred

• Proven ability to conduct unit testing, regression testing, and A/B testing to validate and refine bot behavior

• Proficient in debugging and resolving issues related to intent overlap, entity conflicts, and misclassification

• Experience working with analytics tools to monitor chatbot performance and drive continuous improvement

• Awareness of ethical AI practices and a commitment to maintaining compliance with organizational and regulatory guidelines

• Strong collaboration skills with the ability to work cross-functionally with software engineers, data scientists, and product teams

• Self-motivated and eager to stay current with advancements in natural language processing (NLP), Azure AI services, and conversational AI trends

• Excellent written and verbal communication skills, with the ability to present insights and recommendations to technical and non-technical stakeholders

• Ability to manage multiple priorities and perform other duties as assigned

** BRMi will not sponsor applicants for work visas for this position.**

**This is a W2 opportunity only**

EOE/Minorities/Females/Vet/Disabled 

We are an equal opportunity employer that values diversity and commitment at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. Employment policies and decisions on employment and promotion are based on merit, qualifications, performance, and business needs. The decisions and criteria governing the employment relationship with all employees are made in a nondiscriminatory manner, without regard to race, religion, color, national origin, sex, age, marital status, physical or mental disability, medical condition, veteran status, or any other factor determined to be unlawful by federal, state, or local statutes.