Python Backend Developer / MLOps Engineer

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Requirements:

• 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)

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 transcriptionAutomated voice response systemsVoice authentication and fraud detectionAI-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.