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Working in our Integrations Engineering team with a UK and Europe regional focus, you’ll play a key role in connecting Heidi to NHS and UK healthcare systems. You’ll design and implement integrations with GP systems, hospital EHRs, and healthcare APIs, ensuring our technology fits seamlessly into UK 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 UK and European healthcare systems (e.g., EMIS, TPP SystmOne, Cerner Millennium, GDT, Dedalus, Maincare, Epic, etc.)
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:
6+ years of professional software engineering experience
Proficiency in Python, 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
Familiarity with healthcare interoperability standards (FHIR, HL7) or strong interest in learning them
Nice to have:
Prior experience integrating with UK and European healthcare systems (e.g., EMIS, TPP SystmOne, Cerner Millennium, GDT, Dedalus, Maincare, Epic, etc.)
Knowledge of observability tools (logging, metrics, tracing) and performance tuning
Familiarity with GDPR, NHS DSP Toolkit, and healthcare security best practices