Software Engineer
Core
Architect and build the Clinical Context Layer infrastructure that encodes clinician preferences and guardrails into enterprise healthcare systems, enabling safe and precise AI automation for clinicians.
Role type
Senior Backend Engineer (Healthcare AI Infrastructure)
Builds
Clinical Context Layer (rule system, guardrails, configurations), automated QA/onboarding systems, and healthcare data integrations (HL7, FHIR, API).
Domain
Enterprise Healthcare / Clinical AI / Health IT
Deliverable
production ML models | product features | infrastructure
Required skills
Backend system architecture, distributed systems design, data pipeline engineering, healthcare data standards (HL7, FHIR), cloud infrastructure (AWS), Python, TypeScript, stakeholder collaboration with non-technical experts.
Preferred skills
Experience building internal tools to replace manual judgment, LLM-in-production experimentation, startup environment fluency.
Technologies
Python, Django, TypeScript, NextJS, Postgres, Redis, S3, Datadog, Sentry, AWS, Docker, Terraform, Github Actions.
Responsibilities
Own the technical architecture of the clinical context layer and rule system; build systems for automated clinical QA, onboarding, and data curation; manage end-to-end healthcare data integrations and AWS infrastructure scaling.
Seniority
Senior, hands-on IC
