Senior Full Stack AI Engineer (Natural Language Systems)

Responsibilities

• Drive Prompt’s mission to improve healthcare through modern technology including AI
• Lead AI projects from ideation → architecture → production → iteration until features are widely adopted and loved!
• Develop and deploy real-time AI systems involving speech and natural language understanding (e.g., transcription, summarization, classification)
• Build robust model and prompt pipelines for LLM-powered workflows with high accuracy and monitoring standards
• Partner with Product and Engineering to identify high-leverage AI opportunities and deliver measurable outcomes
• Help develop Prompt’s strategic AI roadmap across speech, NLP, and core automation workflows
• Apply AI to improve client and internal operations including clinical documentation, customer support, and billing workflows
• Develop a deep understanding of Prompt’s product, customers, and the business of rehab therapy
• Help grow and lead the AI team, including training and development of junior team members

Qualifications

• 4+ years of experience building AI/ML systems in industry or academia, with meaningful production ownership
• Strong experience building and evaluating NLP and/or LLM systems (e.g., retrieval, summarization, classification, extraction, agent workflows)
• Experience working with speech-related pipelines in production or near-real-time settings (e.g., speech-to-text, spoken intent classification, conversational AI)
• Track record of benchmarking and iteratively improving accuracy, cost, and latency
• Enthusiastic and pragmatic problem-solving mindset
• Excellent communication skills, with the ability to explain complex AI concepts to non-technical stakeholders
• Python (>3.9)
• Docker (Basics)
• AWS familiarity (S3, RDS, EC2) preferred
• Willingness to learn and deeply understand the healthcare sector, specifically physical therapy, occupational therapy, and speech therapy
• Please only apply if you are interested in a heavy code contribution role; this is not an engineering management position, though growth opportunities exist over time

Nice-to-Haves

• Experience building and optimizing real-time speech processing systems (latency, streaming, stability)
• Experience with modern STT engines and their evaluation
• Experience with modern TTS enginesand voice pipeline integration
• Experience designing, developing, and optimizing IVR applications
• Experience working with CPaaS platforms (e.g., Twilio) for telephony workflows and conversational routing
• Experience architecting ML/LLM evaluation pipelines and quality systems (offline + online evaluation, golden sets, regression testing)
• Experience with recommendation systems, automation systems, or large-scale workflow orchestration
• Familiarity with FastAPI, Pydantic, SQLAlchemy, PostgreSQL
• Experience with CI/CD pipelines and production observability tooling
• Experience building healthcare software and/or data processing pipelines