Data/AI/ML Integration Developer
Location: New York, NY
Role Summary:
Create secure, scalable integration pipelines and APIs connecting clinical systems, Snowflake data stores, and AI model endpoints.
Responsibilities:
- Develop APIs and microservices in Python (FastAPI) and Node.js
- Build ETL/ELT pipelines using Airflow/dbt from Epic EHR into Snowflake or similar
- Integrate with real-time streaming tools (Kafka, GCP Pub/Sub) and FHIR APIs
- Ensure encryption in transit, data lineage, and access control compliance (OAuth2, RBAC)
- Build hybrid search and RAG workflows across clinical corpora
- Manage vector database operations (e.g., Pinecone/Weaviate) for GenAI search augmentation
- Integrate with orchestration layers for multi-agent systems using LangChain, CrewAI
Required Qualifications:
- 4+ years in backend/data integration roles
- Hands-on with FHIR/HL7 APIs, dbt, Snowflake, and containerized services
Preferred Qualifications:
- Healthcare interoperability experience
- Integration of LLM endpoints (OpenAI, Vertex AI) and model-serving APIs