Build and improve AI voice agents for healthcare customers by designing prompts, conversation flows, knowledge content, tool integrations, and workflows. Prototype capabilities, develop systematic testing, troubleshoot failures, measure patient and operational outcomes, and turn recurring customer needs into reusable platform improvements. Collaborate with customer delivery and platform engineering teams to deliver reliable agent experiences.

Design and build scalable Python backend systems for a real-time AI voice-agent platform. Responsibilities include architecting microservices, APIs, distributed systems, databases, message queues, event-driven workflows, EHR integrations, observability, and HIPAA-compliant infrastructure. The engineer will own backend features end to end, ensure reliability and low latency at scale, and collaborate through technical discussions and code reviews.