Senior AI Engineer (Natural Language Systems)

Prompt

2d•Hybrid

About The Position

Prompt is a mission-driven startup looking for an experienced Senior AI Engineer to help push forward an ambitious set of AI initiatives in healthcare, with a particular emphasis on speech and language processing. Prompt delivers highly automated and modern B2B enterprise software to rehab therapy businesses, their teams, and most importantly the patients they serve. We’ve established ourselves as the go-to platform in the space and are rapidly growing our market share by delivering software people love. As we scale our telephony AI and speech processing initiatives—including our AI scribe and other real-time language workflows—we’re looking for a innovative Sr. AI Engineer that loves solving high-impact problems. This role combines deep technical expertise in AI with strong software engineering fundamentals to build reliable, production-grade systems. You’ll help us apply the latest generative AI and ML methods to real-world workflows where speed, accuracy, and results matter. This is an opportunity to be at the forefront of real-world AI applications in healthcare—building systems used every day by clinics, staff, and patients.

Requirements

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

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