Staff Software Engineer, AI Engineering

Tebra only initiates contact with candidates via email from an official Tebra email address (@tebra.com, @patientpop.com, or @kareo.com) or through our applicant tracking system, Greenhouse. We will only ask you to provide sensitive personal information through our official application portal — not via social media or text message. We do not conduct interviews via instant messaging.

About the Role

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The Revenue Cycle Management (RCM) team is seeking a Staff Software Engineer to lead the design, development, and adoption of AI-native capabilities across our billing and revenue cycle platform.

This role combines deep software engineering expertise with hands-on experience building production AI systems. You will help transform how healthcare organizations manage billing, payments, claims, and operational workflows by applying Large Language Models (LLMs), intelligent automation, retrieval systems, and agentic AI architectures to solve real-world business problems.

As a senior individual contributor, you will operate at the intersection of platform architecture, AI systems engineering, and business transformation. You will influence technical strategy across teams, design reusable AI capabilities, and establish engineering standards for building reliable, secure, and scalable AI-powered systems.

Your impact will come through technical leadership, architectural ownership, hands-on implementation, and your ability to translate complex business challenges into intelligent software solutions that deliver measurable outcomes.

Your Area of Focus

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• Identify and implement practical opportunities to embed AI into backend services and business workflows where it can improve efficiency, accuracy, or decision support.
• Design and build production-ready AI-enabled services that combine application logic, APIs, and AI models to support real customer and operational use cases.
• **Integrate LLMs, ML...