AI Engineer – Clinical AI Platform

The Role

We are looking for an AI Engineer to help build and evolve the core application platform behind our clinical AI product. This role involves building and maintaining runtime workflows, improving LLM usage, extending multi-tenant architecture, improving operational tooling, and ensuring reliability and developer ergonomics.

What You'll Be Doing

• Core application workflows: Build and maintain the runtime workflows that retrieve clinical data, execute graph-based reasoning pipelines, and write outputs back to the platform in a reliable, observable way.
• LLM-powered product logic: Improve how the application uses LLMs for document understanding, evidence generation, and structured extraction, with attention to correctness, latency, cost, and traceability.
• Configuration-driven multi-tenant architecture: Extend the platform so it can support new facilities, clinical registries, and customer-specific behavior through shared abstractions and designed configuration layers rather than ad hoc branching.
• Operational tooling and internal UX: Improve the tooling that supports configuration updates, node evaluation, issue-driven workflows, and other internal product operations so that engineers and clinical teammates can work faster and safer.
• Testing and reliability: Maintain and improve the validation, testing, and monitoring layers so changes to prompts, graph logic, or facility-specific configuration do not silently degrade output quality.
• Developer experience and maintainability: Help shape the codebase, patterns, and abstractions so the system stays understandable as we add new registries, workflows, and product surfaces.

Who We’re Looking For

• You are an owner. You take initiative, move work forward, and are comfortable owning problems from discovery through implementation.
• You are a systems thinker and builder. You can break down complex technical problems, design practical solutions, and build with maintainability in mind.
• You are collaborative and pragmatic. You work effectively across engineering, product, and clinical teams, balancing technical rigor with practical execution.
• You are an analytical problem solver. You know how to diagnose issues methodically, evaluate tradeoffs, and make sound decisions in complex systems.
• You have a continuous improvement mindset. You look for better ways to build, test, validate, and operate software.