Teams at Sage Care Inc.

Build production AI agent systems for healthcare workflows such as scheduling and medication refills. Develop orchestration, tool-use, conversation-state, recovery, evaluation, and ML pipelines. Analyze production conversations, identify failures, create evaluation datasets, measure agent quality, and improve reliability across models and prompts. Partner with research to productionize techniques while balancing quality, latency, and cost.

Build and scale the real-time backend platform powering AI voice agents. Responsibilities include designing session state and workflow runtimes, model orchestration, concurrency and reliability systems, Rust migration, performance troubleshooting, service boundary design, load testing, observability, and production readiness across healthcare partners.

Build analytics infrastructure, pipelines, and dashboards to surface metrics from the matching pipeline. Design and implement new metrics and offline analysis tooling to assess product performance and improve algorithm quality, collaborating with engineering and business teams.