Senior Full Stack AI Engineer (Natural Language Systems)
Builds and deploys production-grade real-time AI systems focused on speech processing, NLP, and LLM workflows for healthcare applications like transcription and clinical documentation. Requires 4+ years AI/ML experience with strong Python engineering skills.
About the job
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
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 engines and 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
Skills
Python, LLMs, NLP, Speech-To-Text, Docker, AWS, FastAPI, Pydantic, Sqlalchemy, Postgres, Twilio
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