This is a unique opportunity to shape how LLMs become embedded in our daily operations, automating as much work as possible, increasing productivity and improving the quality of our products, decision-making, and internal processes. This role is ideal for an engineer who’s curious, pragmatic, and motivated by real-world impact, laying the groundwork for how we approach internal AI applications, with a focus on utility, trust, and constant adaptation.
The Principal Engineer will be spearheading the development of a cutting-edge Agentic AI platform that leverages our healthcare RCM data lakehouse to revolutionize revenue cycle workflows through autonomous, intelligent agents. Key responsibilities include architecting and building a scalable Agentic AI framework specifically for RCM workflows, designing autonomous agents capable of handling complex revenue cycle tasks.
PHIL is seeking a talented and experienced Staff Software Engineer to lead the technical vision and implementation of intelligent agents across our operational platform. This role will focus on leveraging large language models (LLMs) to optimize key pharmacy workflows, automate manual processes, and summarize complex documentation to support faster, higher-quality decision-making by internal teams.