Knowledge Routing Engineer

About the role

Sage Care is building an AI‑powered care navigation platform that matches patient queries to the right providers and urgency. The Knowledge Routing Engineer will own the knowledge encoding component, turning real patient data into actionable routing decisions.

Key responsibilities

• Design, build, and own the core symptom and query routing engine that maps complex medical queries to urgency classifiers, providers, and specialties.
• Develop learned decision‑tree models and self‑learning pipelines that can ask follow‑up questions, improve from real user data, and continuously refine routing quality.
• Collaborate with medical experts to create generalizable representations of symptoms, body systems, and triage protocols.
• Define and track quality metrics, iterating on models to improve performance over time.

Required profile

• 7+ years of machine‑learning engineering experience.
• Proven ability to work on ambiguous problems, define solutions from first principles, and turn research prototypes into production systems.
• Strong backend engineering skills and systems thinking.

Required skills

• Experience with foundational ML models such as learned decision trees, deep learning, and reinforcement learning.
• Backend development expertise (e.g., building scalable services).
• Ability to design evaluation frameworks and measure model quality.