SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
CodaMetrix is an AI-driven healthcare platform that automates medical coding for revenue cycle management, helping physicians and providers focus on patient care rather than administrative tasks.
The Senior Integrations Engineer is a member of the Integrations team, reporting to the Director of Integrations. You will be responsible for independently delivering complex, high-reliability integrations between CodaMetrix's AI-powered coding platform and customer health systems. This is a technical leadership role within the Integrations team, supporting both product development and customer implementations.
Key Responsibilities:
- Provide technical leadership of the Integration team, independently taking projects from inception to completion
- Coordinate across Engineering, Machine Learning, Product, and Professional Services teams with a strong understanding of organizational structure
- Proactively participate in project activities, including status meetings and code/design reviews for other engineers
- Design and implement advanced integrations between CodaMetrix customers and core services with minimal oversight
- Own overall architecture and design of Integration services and their fit within the larger CodaMetrix solution
- Partner with Machine Learning and Engineering teams to ensure integration pipelines deliver clean, complete clinical data meeting model input requirements
- Troubleshoot data-quality issues affecting downstream AI model performance
- Use AI-assisted development tools (Copilot, Claude Code, etc.) to accelerate design and testing while applying sound engineering judgment to validate outputs
Requirements:
- 6–8 years of architecture, development, and implementation experience, including HL7v2 and FHIR technologies
- Deep and broad knowledge of Integration Engines such as Mirth and Rhapsody
- Comfortable using AI coding assistants in daily workflow with judgment to review and validate output
- Familiarity with AI/ML-driven data pipelines and understanding of how upstream data quality affects model accuracy (ML engineering background not required)
- Cloud computing experience
- Experience with HTTP(s), REST, (S)FTP, TCP/IP, JSON, CSV, XML
- Intermediate to advanced JavaScript experience
- Advanced integration/interface development, testing, and delivery
- Strong verbal and written communication skills with management and peers
- Bachelor's degree in computer science or similar field
