Jobs

What You'll Build
Core AI Systems

Multi-agent consensus architectures where specialized models debate cases before conclusions

RAG pipelines processing thousands of clinical guidelines built for LLM consumption

Fine tuning and model distillation to support efficient performance

Real-time inference systems handling millions of medical consultations each month

Custom workflows for domain-specific medical reasoning

Clinical Data Infrastructure

NLP pipelines extracting structured data from patient conversations (HIPAA-compliant)

QHIN integrations for automated EHR data retrieval and reconciliation

Intelligent triage systems routing between AI and human providers

Documentation generation matching provider-specific protocols

Safety & Scale

Emergency detection with sub-second escalation to human oversight

Validation layers ensuring 99%+ treatment plan accuracy

Distributed systems handling rapid growth and peak loads

Fail-safe mechanisms for critical path decisions in regulated environments

You'll also work on voice/video AI interfaces, multilingual medical NLP, predictive health modeling, and infrastructure for the next billion patient interactions.