Build and ship AI-native product experiences used directly by clinicians and patients

Design and develop LLM-powered systems and agents that automate and augment complex healthcare workflows

Own AI features end-to-end, from prototyping and experimentation through production deployment, evaluation, and iteration

Build robust evaluation, monitoring, and feedback systems to continuously improve AI quality, reliability, and performance

Work across models, prompts, tools, retrieval systems, and application infrastructure to solve real-world product problems

Move quickly from emerging AI capabilities to production-ready experiences that deliver measurable value

Collaborate closely with clinicians and engineers to understand complex healthcare workflows and determine where AI can have the greatest impact

You'll thrive here if you:

Have a bachelor's degree or equivalent experience in Computer Science or a related field

Have 2+ years of professional software engineering experience outperforming in high-quality environments

Have experience building and shipping LLM-powered applications or AI products in production

Are fluent in Python and/or TypeScript

Applied AI Engineer

Responsibilities