Staff AI Engineer (Orchestration)
WHO WE ARE
Healthcare needs a better rhythm: one that keeps care continuous and deeply human. Heidi is building an AI Care Partner that works alongside clinicians to make that possible.
We’re a team of doctors, engineers, designers, researchers, and creatives building tools that help clinicians stay focused on what matters most: their patients.
In just 18 months, Heidi has given back more than 18 million hours to healthcare professionals — supporting 73 million patient visits in 116 countries. Today, more than two million patient visits each week are powered by Heidi worldwide.
Backed by nearly $100 million in funding, we’re growing in the US, UK, Canada, and Europe, partnering with leading health systems including the NHS, Beth Israel Lahey Health, and Monash Health.
THE ROLE
You will operate as a Staff+ AI scientist/engineer on the Orchestration team. You will own the design and delivery of a clinician‑grade retrieval and question‑answering stack across data ingestion, indexing, ranking, grounding, and safe deployment.
You will set technical direction, establish quality bars, and lead cross‑functional execution with engineering, product, and clinical experts.
You will move between research and production, turning prototypes into reliable services with clear SLAs, traceable outputs, and unit/acceptance metrics that matter in clinical contexts.
WHAT YOU’LL DO:
- Define the end‑to‑end architecture for literature and guideline ingestion, normalization, metadata extraction, de‑duplication, and versioning.
- Build hybrid search and retrieval: lexical + vector + re‑ranking, with tight latency budgets and cost controls.
- Design grounding and answer synthesis that cite sources, preserve provenance, and expose confidence and abstention.
- Lead model work across prompting, fine‑tuning, distillation, and tool use to improve faithfulness, coverage, and utility.
- Stand up gold‑standard evaluation: offline IR metrics (nDCG, MAP, recall), factuality/fait...