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