AI Engineer – Clinical AI Platform

Medisolv helps make healthcare quality manageable and actionable. We partner with hospitals, health systems, ACOs, and payers to bring clarity to quality data, connecting clinical and claims information into a single, reliable view. More than 1,800 organizations rely on Medisolv to measure, report, and improve performance across 500+ measures tied to CMS, the Joint Commission, and other programs for 130 million+ patient records.

We are looking for an AI Engineer to help build and evolve the core application platform behind our clinical AI product. This role involves application logic, orchestration, operational tooling, and system integrations that allow our platform to process clinical documents, run graph-based AI workflows, and produce reliable outputs across multiple health systems.

Your work will span architecture, product behavior, cloud systems, LLM workflows, and internal tooling. It’s highly practical, technically challenging, and directly connected to real clinical use cases. The role is ideal for an engineer who likes owning real product behavior end‑to‑end: application architecture, workflow orchestration, reliability, developer ergonomics, cloud integrations, and the practical realities of shipping AI‑powered software in healthcare.

• Run core application workflows: build and maintain runtime workflows that retrieve clinical data, execute graph‑based reasoning pipelines, and write outputs back to the platform reliably and observably.
• Improve LLM‑powered product logic: enhance how the application uses LLMs for document understanding, evidence generation, and structured extraction, focusing on correctness, latency, cost, and traceability.
• Extend configuration‑driven multi‑tenant architecture so the platform can support new facilities, registries, and customer‑specific behavior through shared abstractions rather than ad‑hoc branching.
• Improve internal tooling and UX for configuration updates, node evaluation, issue‑driven workflows, and other product operations that enable engineers and clinicians to work faster and safer.
• Maintain and improve validation, testing, and monitoring layers so changes to prompts, graph logic, or facility‑specific configuration do not silently degrade output quality.
• Shape developer experience and maintainability: help shape codebase patterns and abstractions so the system stays understandable as new registries, workflows, and product surfaces are added.

• Onboard and get to know the people, products, and departments that make Medisolv run.
• Complete onboarding across engineering, product, clinical, and data teams; build working relationships with key partners and understand how the Clinical AI platform supports customer outcomes.
• Learn the platform architecture, core services, data flows, deployment model, and operational tooling used to run AI workflows in production.
• Set up the local development environment, access required systems, and push meaningful code changes to become productive in the codebase.
• Understand clinical document processing and graph‑based workflow lifecycle, including input retrieval, transformation, evaluation, and writing back to the platform.
• Review current reliability, testing, observability, and prompt or workflow validation practices to understand quality maintenance across customer‑specific configurations.

• Own an important area of the Clinical AI platform end‑to‑end, from design and implementation through operational readiness and ongoing improvement.
• Design and ship enhancements that improve multi‑tenant scalability, maintainability, and configurability across customers, facilities, and registries.
• Improve internal tooling and operator workflows to allow teams to evaluate nodes, troubleshoot issues, and manage configuration changes more efficiently.
• Lead root‑cause analysis and reliability improvements for production issues, using observability data and test results to harden the system.
• Raise engineering quality by contributing reusable patterns, cleaner abstractions, and better developer ergonomics across the codebase.

• Become a trusted technical owner…