Senior Developer

About the role

We are building a next‑generation multimodal foundation model that understands medical imaging, clinical documents, and operational context. As a Senior Developer, you will design and implement workflow‑centric AI agents that orchestrate clinical workflows across radiology, oncology, and cardiology. Your work will shape how AI collaborates with clinicians and hospital operations teams. You will architect agents that execute multi‑step processes, encode clinical logic, and build pipelines that coordinate across departments. You will design orchestration frameworks that break complex tasks into atomic sub‑tasks, route them to specialized agents, and enable dynamic collaboration. Integration with PACS/RIS, EHR/HIS, and operational systems will be key, ensuring real‑world constraints such as availability and backlogs are respected. You will apply multimodal foundation models for imaging and clinical text reasoning, and define evaluation, safety, and reliability metrics. Collaboration with clinicians will help identify edge cases and build guardrails. This role offers competitive compensation, high‑compute resources, and the chance to publish and innovate in an emerging field.

What you’ll do

• Architect AI agents to execute end‑to‑end clinical workflows across specialties.
• Encode clinical logic, dependencies, safety steps, and escalation patterns into agents.
• Build agent pipelines coordinating radiology, oncology, cardiology, ED, OPD, and inpatient teams.
• Design orchestration frameworks that break tasks into atomic sub‑tasks and route them to agents.
• Build controllers enabling agents to share context, verify outputs, and collaborate dynamically.
• Implement workflow‑aware state machines to manage long‑running, multi‑step processes.
• Develop agents that interact with PACS/RIS, EHR/HIS, and operational systems.
• Ensure orchestration layers respect real‑world constraints like availability and backlogs.
• Build monitoring and guardrail mechanisms for workflow‑level safety.
• Collaborate with clinicians to identify edge cases and ensure safe practice.

What you’ll bring

• Strong experience in LLM agents, workflow automation, or multi‑agent systems.
• Background in multimodal or clinical AI is a plus.
• Familiarity with hospital workflows—especially in imaging‑heavy specialties—is strongly preferred.
• Ability to design and implement agent orchestration frameworks.
• Hands‑on experience with PyTorch/JAX, transformers, retrieval systems, or agent frameworks (AutoGen, CrewAI, LangChain, etc.).
• Collaborate with clinicians and product teams to translate workflow needs into agentic systems.

Nice to have

• Experience with PACS/RIS/EHR integration, clinical informatics, or operational workflow tools.
• Knowledge of oncology and cardiology care pathways.
• Prior work with workflow engines, BPMN systems, or orchestration controllers.
• Experience running simulations, RL‑based workflow optimizers, or task planners.

Skills

Benefits

• Competitive compensation commensurate with productivity and innovation.
• Opportunity to define orchestration layer for new generation of clinical AI.
• High‑compute resources.
• Close collaboration with clinicians, operations leaders, and AI researchers.
• Freedom to publish and innovate in an emerging field.