Senior Implementation Engineer

Rad AI

Job Overview

Location

United States

Job Type

Full-time

Full Job Description

📋 Description

• Design, develop, and maintain HL7 v2 and FHIR interfaces between Rad AI’s AI-powered radiology platform and customers’ clinical data systems, ensuring seamless data exchange and compliance with healthcare integration standards.
• Lead the standardization of interface specifications across Rad AI’s product suite, creating and maintaining comprehensive technical documentation for internal teams and external clients.
• Serve as the primary technical point of contact during end-to-end customer implementations, guiding client IT teams through configuration, testing, and validation of data mappings and message flows.
• Perform rigorous testing and troubleshooting of HL7 and FHIR integrations using log analysis, SQL queries, and manual validation to ensure data accuracy, integrity, and system compatibility.
• Monitor interface health in production environments, implement alerting mechanisms, and respond to incidents to maintain system reliability and minimize downtime for clinical users.
• Collaborate with product managers, software engineers, and QA teams to identify integration bottlenecks, propose enhancements, and implement custom functionality tailored to customer needs.
• Provide post-go-live technical support to customers, resolving complex interface issues related to data mapping, message routing, and system interoperability.
• Mentor and upskill junior implementation engineers and teammates on HL7 and FHIR best practices, serving as a subject matter expert within the organization.
• Work directly with healthcare system IT departments, radiology groups, and vendor partners to understand clinical workflows and translate their integration requirements into technical solutions.
• Participate in customer implementation planning, test case design, and UAT coordination to ensure successful deployment and adoption of Rad AI’s software in live clinical environments.
• Stay current with evolving healthcare data standards (FHIR, HL7, SNOMED, LOINC) and industry regulations (HIPAA, ONC Cures Act) to ensure all integrations remain compliant and future-proof.
• Document lessons learned and operational procedures to improve scalability of implementation processes as Rad AI rapidly expands its customer base across the U.S.
• Assist in onboarding new clients by configuring interfaces, validating data feeds, and facilitating communication between Rad AI’s engineering team and customer technical stakeholders.
• Actively contribute to improving internal tools, scripts, and automation frameworks that streamline interface deployment, reduce manual effort, and increase implementation speed.
• Maintain a high degree of attention to detail in validating complex data mappings between disparate healthcare systems, ensuring zero loss or corruption of critical radiology report data.

🎯 Requirements

• 5+ years of experience in HL7 v2 interfacing
• Proven technical background comfortable reading logs, source code, and querying databases using SQL
• Familiarity with REST APIs, JSON, and XML
• Familiarity or experience with JavaScript, TypeScript, and/or Python
• Strong understanding of the Healthcare IT ecosystem and major clinical and system integration points
• A desire to become an expert with FHIR

🏖️ Benefits

• Comprehensive Medical, Dental, Vision & Life insurance
• HSA (with employer match), FSA, & DCFSA
• 401(k)
• 11 Paid Company Holidays
• Flexible PTO policy
• Annual equipment stipend

Skills & Technologies

Python

JavaScript

TypeScript

REST

Senior

Onsite

Ready to Apply?

Apply Externally

You will be redirected to an external site to apply.

Rad AI

Visit Website

About Rad AI

Rad AI provides AI-powered radiology workflow software for hospitals and imaging centers. Its platform automates repetitive tasks in radiology reporting, such as follow-up recommendations and incidental findings detection, reducing radiologist burnout and improving patient care. The company’s products integrate with existing PACS and RIS systems to streamline radiology operations. Rad AI serves healthcare systems across the United States.

View Company Profile

Get more remote jobs like this

Subscribe to the weekly newsletter for similar remote roles and curated hiring updates.

Weekly remote jobs and featured talent.

No spam. Only curated remote roles and product updates. You can unsubscribe anytime.