Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.
What You’ll Do
As a Staff Software Engineer at Machinify, you will lead the design and development of large-scale systems that bring cutting-edge AI into production to transform Payment Integrity and Audit solutions. You will:
Lead development of document processing pipelines capable of annually handling hundreds of millions of documents, including medical records, claims, and benefits data.
Design and implement agentic workflows that review and validate millions of healthcare claims per year, ensuring accuracy and payment integrity.
Evolve our agentic ecosystem by driving innovation in prompt development lifecycle, optimal utilization of various flavors of multi-modal (text + vision) LLMs, context extraction, RAG, workflow orchestration frameworks, observability and logging, and explainability of LLM outputs.
Collaborate across teams (Data Science, Data Engineering, and Product) to deliver robust, end-to-end AI-powered systems that automate complex workflows.
Address critical infrastructure needs by tracking and reducing tech debt while strengthening system reliability and scalability.
Mentor and guide engineers on best practices in designing production-grade AI systems, helping set technical direction for the team.
What You’ll Bring
6+ years of software engineering experience, including at least 2 years building agentic systems or AI-driven workflows in an enterprise setting.
Strong programming expertise in Java and Python, with additional experience