Build AI infrastructure connecting personal agents with healthcare organizations at Doe, using Python or TypeScript and distributed systems expertise. Work from Toronto as a founding engineer.
Doe builds infrastructure for personal agents reaching healthcare organizations, plus AI tools for providers across multiple disciplines. As a Founding AI Infrastructure Engineer, you will create reliable systems carrying requests from patient agents to provider records. Your work spans voice and text agents, interfaces, model operations, and observability.
Key Responsibilities: Build runtime orchestration for voice and text agents
Design interfaces connecting personal agents with healthcare organizations
Improve latency and reliability across speech, model, and telephony providers




Build evaluation and monitoring for agent changes
Design intelligence model training, versioning, and serving
Requirements: Four or more years building distributed systems or production infrastructure
Hands-on experience shipping LLM-based systems to real users
Strong Python or TypeScript, queues, and cloud infrastructure fundamentals
Judgment to simplify systems before making them clever
Experience with real-time voice, telephony, or WebRTC is helpful
Shape Doe’s AI infrastructure through distributed systems, agent runtimes, observability, and reliable healthcare connectivity.

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📌 Founding AI Infrastructure Engineer (Manitoba)
🏢 Doe Intelligence
📍 Manitoba