Applied AI & Integrations Engineer
Core
Build and integrate AI/ML capabilities and third-party platform integrations into production healthcare applications.
Role type
Senior Applied AI & Integrations Engineer
Builds
Production software products, public APIs, SDKs, connectors, and AI/ML inference pipelines for healthcare customers.
Domain
Healthcare technology, Cloud infrastructure, AI/ML integration
Deliverable
production ML models | product features
Required skills
Java, Microservices, Cloud frameworks (AWS/Azure/GCP), Containerization (Docker/Kubernetes), REST/GraphQL APIs, OAuth 2.0/OIDC, AI/ML service integration, LLM application patterns, MLOps, Healthcare interoperability standards (FHIR/HL7/DICOM)
Preferred skills
Event-driven architecture, Big data systems, Serverless functions, Agile planning, Customer partnership, Regulated environment experience
Technologies
Java, Spring Boot, Quarkus, Hibernate, AWS, Azure, GCP, Docker, Kubernetes, OpenShift, REST, GraphQL, Webhooks, OAuth 2.0, OIDC, FHIR, HL7, DICOM, SMART on FHIR, LLM APIs, Vector databases
Responsibilities
Design and build integrations with third-party platforms and external data sources; Integrate AI and machine learning capabilities into production applications; Build and maintain public APIs, SDKs, and connectors; Establish evaluation harnesses and monitoring for AI features; Partner with data science and clinical teams to move models to production; Conduct code reviews and ensure software engineering best practices.
Seniority
Senior, hands-on IC
