Senior Developer — Agentic Clinical Workflow & Orchestration

SAIGroup is developing a next-generation multimodal foundation model aimed at enhancing clinical workflows in healthcare. The Senior Developer will design and implement AI agents to optimize clinical workflows across various medical specialties, directly impacting how AI collaborates with clinicians and hospital operations teams.

Responsibilities:

• Architect AI agents that can execute multi-step clinical workflows end to end, such as: Imaging ordering → prioritization → acquisition → reporting → follow-up, Oncology staging → treatment planning → monitoring → documentation, Cardiology testing → diagnosis → risk stratification → longitudinal care
• Encode clinical logic, workflow dependencies, safety steps, and escalation patterns into agent behaviors
• Build agent pipelines that coordinate across radiology, oncology, cardiology, ED, OPD, and inpatient teams
• Design orchestration frameworks that break down complex clinical tasks into atomic sub-tasks and route them to specialized agents (e.g., imaging analysis agent, summarization agent, scheduling agent, retrieval agent)
• Build controllers that enable agents to share context, verify each other’s outputs, and collaborate dynamically
• Implement workflow-aware state machines or controllers to manage long-running, multi-step clinical processes
• Develop agents that interact with: Imaging systems (PACS/RIS), Clinical records (EHR/HIS), Operational systems (scheduling, triage, queue management)
• Ensure orchestration layers understand real-world constraints like department availability, urgency, and imaging backlogs
• Build agents capable of responding to workflow events (urgent findings, incomplete scans, patient no-shows, etc.)
• Use the foundation model’s imaging-text representations to build agents that can: Understand 3D studies (CT/MRI/PET), Read clinical notes and operational metadata, Perform reasoning across multimodal patient context
• Apply prompting, tool use, retrieval augmentation, and memory mechanisms to power agent workflows
• Define evaluation methods for agentic workflows, including: Workflow completion accuracy, Task routing correctness, Operational efficiency improvements, Clinical coherence and safety
• Collaborate with clinicians to identify edge cases and ensure agents support safe clinical practice
• Build monitoring and guardrail mechanisms for workflow-level safety