Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations
Job Summary
Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations.
Your focus will be on designing advanced LLM-driven workflows that can reason through complex clinical contexts, leverage agentic capabilities and structured tool use, navigate branching chains of LLM calls, integrate seamlessly with retrieval systems, and consistently generate outputs that meet the highest standards of clinical reliability and trust.
At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways.
Matching Summary
Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations.
Skills & Requirements
Must-have
LLM APIs and orchestration patterns
Retrieval systems and tool use
Rigorous model evaluation frameworks
Python for production systems
Hybrid work model in SF
Nice-to-have
Deep EMR integrations
Agentic reasoning capabilities
Frontier model prototyping
Data-driven insights for deployment
Extreme ownership culture
Key Requirements
3+ years of production-grade systems experience
1-2+ years focused on GenAI or LLM products
Strong Python fundamentals
Experience with LLM APIs and orchestration
Experience with retrieval systems or agentic workflows