CodaMetrix is revolutionizing Revenue Cycle Management with its AI-powered autonomous coding solution, a multi-specialty AI-platform that translates clinical information into accurate sets of medical codes. CodaMetrix’s autonomous coding drives efficiency under fee-for-service and value-based care models and supports improved patient care. We are passionate about getting physicians and healthcare providers away from the keyboard and back to clinical care.

Overview

The Senior Integrations Engineer is a member of the Integrations team, reporting to the Director, Integrations. The Integrations team is responsible for working with the Implementation, Engineering and Data Analytics teams to support data requirements across the CMX organization. Primary goals include smooth transition in obtaining customer interface data and providing integration support across teams to meet CMX product goals.

The Senior Integrations Engineer is responsible for independently delivering complex, high-reliability integrations between CodaMetrix's AI-driven coding platform and customer health systems."

Responsibilities

• Technical leadership of the Integration team supporting both CodaMetrix product development and implementations, independently taking projects from inception to end
• Coordinate across Engineering, Machine Learning, Product, and Professional Services teams, strong understanding of organizational layout
• Proactively participates in project activities, including status meetings and reviews of other engineers’ designs and code, helping to determine best way forward
• Writes and tests advanced integrations between CodaMetrix Customers and the core CodaMetrix services with minimal to no oversight, but knows when to regroup during exceptional cases.
• Overall architecture and design of the Integration services and how they fit into the larger CodaMetrix solution
• Partners with the Machine Learning and Engineering teams to ensure integration pipelines deliver clean, complete clinical data that meets model input requirements, and troubleshoots data-quality issues that affect downstream AI model performance
• Uses AI-assisted development tools (e.g., Copilot/Claude Code or similar) to accelerate design, coding, and testing, while applying sound engineering judgment to validate AI-generated output ·

Requirements

• Required6-8 years of architecture, development and implementation experience, including with HL7v2 and FHIR technologiesDeep and broad knowledge of Integration Engines such as Mirth and RhapsodyComfortable using AI coding assistants as part of the daily development workflow, with the judgment to review and validate their output rather than accept it blindlyFamiliarity with AI/ML-driven data pipelines and an understanding of how upstream data quality affects model accuracy (no ML engineering background required)Cloud computing experienceExperience with HTTP(s), REST, (S)FTP, TCP/IP, JSON, CSV, XMLIntermediate to advanced experience with JavaScriptAdvanced integration/Interface development, testing, and deliveryStrong verbal and written communication skills with both management and peersBachelor’s degree in computer science or similar field