Apply on Employer Site

Prompt Health · 1 week ago

Senior AI Engineer (Natural Language Systems)

United States

Full-time

Remote

Mid, Senior Level

$160K/yr - $220K/yr

4+ years exp

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. The role involves leading AI projects, developing real-time AI systems, and improving client operations through innovative AI solutions.

Health CareInformation TechnologyMedicalSoftware

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

Qualification

NLP systemsAI/ML systemsSpeech processingPythonAWSDockerCommunicationProblem-solving mindset

Required

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)