Senior AI Engineer (Telephony) - Remote

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.

In Short

• 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.
• Apply AI technology in innovative ways to improve both client and internal operations.
• Participate and contribute to the Code Review process.
• Engage in Design Reviews, Product Retrospectives, and other team based ceremonies.

Requirements

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

Benefits

• Competitive salaries.
• Remote/hybrid environment.
• Potential equity compensation for outstanding performance.
• Flexible PTO.
• Company-wide sponsored lunches.
• Company paid disability and life insurance benefits.
• Company paid family and medical leave.
• Medical, dental, and vision insurance benefits.
• Discounted pet insurance.
• FSA/DCA and commuter benefits.
• 401k.
• Credits for online and in-person fitness classes/gym memberships.
• Recovery suite at HQ – includes a cold plunge, sauna, and shower.