Company Description FlowAI is focused on transforming patient care through intelligent AI agents that streamline clinical workflows and decision-making. The company builds solutions that integrate seamlessly with electronic medical records (EMR), helping healthcare organizations improve efficiency and care coordination. FlowAI emphasizes HIPAA-compliant workflow automation, ensuring patient data privacy and regulatory adherence.

Team members collaborate across engineering, healthcare, and operations to deliver reliable, secure technology for providers and health systems.

Role Description The Radiology Systems Integration Specialist is a full time remote role responsible for integrating FlowAI solutions with radiology information systems (RIS), PACS, and EMR platforms. Day-to-day work includes configuring interfaces, mapping data fields, validating DICOM and HL7 workflows, and ensuring smooth communication between radiology systems and FlowAI’s AI agents. This role collaborates closely with radiology departments, IT teams, and software engineers to gather requirements, design integration plans, and resolve technical issues.

The specialist monitors system performance, troubleshoots integration problems, and provides technical support during deployments and upgrades. Documentation of integration standards, best practices,



and test cases is also key to ensuring consistent, high-quality implementations.

Qualifications

- 5+ years in radiology IT, including 3+ years building, implementing or supporting a commercial RIS. Experience with eRAD, Fujifilm (Synapse RIS), Siemens (Medicalis), or a comparable RIS/PACS vendor is strongly preferred.
- Hands-on, protocol-level command of DICOM: MWL (C-FIND), MPPS, C-STORE, C-MOVE, Storage Commitment, and how real modalities deviate from the standard.
- Deep HL7 v2 experience with radiology message types (ORM/OMI, ORU, ADT, SIU), interface engines (Mirth/NextGen Connect, Rhapsody, Cloverleaf or similar), and debugging live feeds.
- You have taken multiple imaging centers or hospital radiology departments live, owning interface testing, cutover and the first weeks of production.
- Fluency in the radiology operational workflow: order, schedule, check-in, protocol, scan, QC, read, report, bill, and where each step breaks.
- Able to write or review production code (Python, TypeScript or Java) and reason about cloud-native, event-driven systems.
- Working knowledge of HIPAA and handling PHI safely in logs, test data and cross-system interfaces.
- Clear communicator with PACS administrators, technologists, radiologists and engineers alike.

📌 Radiology Systems Integration Specialist (India)
🏢 FlowAI
📍 India