Senior AI Engineer (Telephony)

Senior AI Engineer (Telephony)

Company Overview:

Prompt is looking for an experienced Senior AI Engineer (Telephony) to help push forward an ambitious set of AI initiatives in the healthcare space, specifically focusing on real-time telephony applications.

Prompt is revolutionizing healthcare by delivering highly automated and modern B2B enterprise software to rehab therapy businesses, the teams within, and the patients they serve. We have established ourselves as the go-to platform in the space, are setting a new standard in healthcare technology, and rapidly growing our market share. We are identifying new challenges across outpatient therapy and the healthcare space at large every day, and we’re looking to bring on a dynamic and innovative Sr. AI Engineer to join our powerful and talented engineering team as we look to tackle these new opportunities. This unique role combines a deep understanding of AI technology, with a specific focus on Natural Language Processing (NLP) and its application in telephony systems, with a strategic mindset to enhance our platform, ensuring that we deliver the highest value to our clients. In addition, we are actively seeking someone to help push forward an ambitious AI roadmap unlike any other in this industry. This is an unprecedented opportunity to be at the forefront of real-world applications of AI in healthcare, particularly within the telephony domain.

Responsibilities

• Drive Prompt’s mission to change healthcare through the application of modern technology and AI, with a focus on telephony solutions.

• Leverage your experience in NLP and telephony to help develop our strategic AI roadmap for real-time communication applications.

• Independently lead AI projects from ideation to architecting to production, specifically related to telephony and speech processing.

• Help grow and lead the AI team, including the training and development of junior team members

• Use your knowledge of AI algorithms like NLP, NLU, and deep learning models design and create our telephony AI systems.

• Develop a deep and thorough understanding of our product, the business of rehab therapy, and Prompt’s strategy, with a focus on phone call automation.

• Identify areas of opportunity to add value to our customers through the use of AI in telephony, such as:

  • Real-time speech recognition and transcription

  • Automated voice response systems

  • Voice authentication and fraud detection

  • AI-powered call routing and queuing

• Apply AI technology in innovative ways to improve both client and internal operations in areas such as customer support, medical billing, clinical documentation, benefits verification, denial management, and more areas yet to be considered.

• Participate and contribute to the Code Review process.

• Engage in Design Reviews, Product Retrospectives, and other team based ceremonies.

Qualifications

• Proven ability to work collaboratively with internal teams and stakeholders to identify opportunities for AI-driven improvements and efficiency within telephony systems.

• Bachelor’s degree in Computer Science, Data Science, AI, or related field (Master's degree or PhD preferred)

• At least 4 years of experience in building AI systems in industry or academia, with a significant focus on NLP and telephony applications.

• Strong ability to think strategically and innovatively, with a problem-solving mindset.

• Strong understanding of data, hypothesis testing and information science.

• Strong understanding of or willingness to learn and understand the healthcare sector, specifically related to physical therapy, occupational therapy, and speech therapy.

• Excellent communication skills, with the ability to explain complex AI concepts to a non-technical audience.

• AWS familiarity (S3, RDS, EC2)

• Familiarity with enterprise grade data and model provenance systems such as MLFlow

• Python (>3.9)

• Docker

• Data science experience

  • Building real-time NLP & LLM systems

  • Experience with speech recognition and transcription technologies

  • Experience with real-time audio processing and streaming

  • Familiarity with telephony protocols and standards (e.g., SIP, VoIP)

  • Data analysis and hypothesis testing

  • Bias checking

  • Model evaluation

• Software engineering

  • Experience architecting python packages

  • Contribution to open-source packages, preferred

  • Nice