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Working in our Integrations Engineering team, you’ll play a key role in connecting Heidi to healthcare systems for the UK&I. You’ll design and implement integrations with EMRs/EHRs and healthcare APIs, ensuring our technology fits seamlessly into clinical workflows. This is a chance to make a direct impact on how clinicians use AI at the point of care.
Job Responsibility:
Build and maintain integrations between Heidi and healthcare systems, following interoperability standards like HL7, FHIR, SMART on FHIR
Collaborate with our AI/ML team to bring medical speech transcription and note generation into clinical workflows
Work with APIs and distributed systems that power Heidi’s core features, ensuring performance, security, and scalability
Improve the reliability and accuracy of medical documentation pipelines
Champion best practices for building robust, maintainable systems in healthcare contexts
Requirements:
5+ years of professional software engineering experience
Prior experience integrating with healthcare systems (Cliniko, Halaxy, MediRecords, Epic, Cerner, athenahealth, Meditech, etc.)
Familiarity with healthcare interoperability standards (FHIR, HL7, SMART on FHIR, etc.)
Proficiency in a prominent programming language such as Python, C++, Rust, C#, Java, Javascript, Typescript etc., with experience building APIs and backend services (preferably with FastAPI)
Experience working with datastores such as MongoDB and Redis
Experience with integration design, including RESTful APIs, authentication/authorization (OAuth2, OpenID Connect), and event-driven systems
Nice to have:
Previous experience in digital health startups or companies building EHR/EMR solutions
Knowledge of medical terminology or curiosity about speech-to-text systems
Full-stack experience with backend services (Python, FastAPI) and frontend frameworks (React.js) is a plus
Passion for improving healthcare and clinician experience