
Senior Full Stack AI Engineer (Rapid Prototyping & Analytics )
About this role
Prompt is currently seeking a Senior Full Stack AI Engineer for a remote position to advance speech, language, and healthcare automation systems. This high-ownership role suits an experienced technologist eager to design end-to-end artificial intelligence workflows and internal productivity tools.
Role Overview
Prompt is a mission-driven startup building modern B2B enterprise software for rehab therapy businesses, patients, and care teams. The incoming engineer will lead artificial intelligence projects from the initial idea phase through architecture, production, and continuous iteration. This position focuses on heavy code contribution rather than people management, working closely with internal departments like engineering, design, sales, marketing, support, finance, and operations to build practical solutions.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Prompt Therapy Solutions delivers automated enterprise software tailored to the rehab therapy sector. Operating as an equal opportunity and E-Verify employer, the company values diversity, inclusion, and a respectful workplace culture. The organization maintains a policy requiring explicit consent before hiring individuals currently employed by Prompt customers.
How to Apply
Interested candidates should visit the official Prompt careers page to submit an application for this remote position.
Skills and tech stack
Questions candidates ask
What is the salary range for the Senior Full Stack AI Engineer role?
The position offers a yearly salary between $160,000 and $220,000 USD.
Is this position remote?
Yes, this role is offered in a remote and hybrid environment.
What level of experience is required?
Applicants must have at least 4 years of experience building artificial intelligence and machine learning systems in industry or academia.
What technical skills are necessary for the job?
Required skills include Python (version 3.9+), basic Docker knowledge, familiarity with AWS, and experience with LLM-based systems and RAG.
Does this role involve people management?
No, this is a heavy code contribution role focused on technical execution rather than engineering management.