You will own Sage Care’s agent platform, designing the orchestration and reasoning systems that drive live patient interactions. As the lead architect for agent behavior, you’ll ensure LLM-powered workflows are reliable, observable, and performant at scale. Your work directly impacts patients by ensuring they never experience a dropped call or failed triage.
Software Engineer, Agent Platform at Sage Care
Sage Care is hiring a Software Engineer to own the core platform powering AI voice agents that are already live in hospital systems today. Founded by an elite team from Apple, Uber, and Carbon Health, and backed by General Catalyst, Sage Care is solving the healthcare access crisis by ensuring patient calls never go unanswered. In this role, you will design the reasoning, orchestration, and control-flow systems that make non-deterministic LLMs reliable for critical care navigation. With a salary range of $200K-$250K plus equity, you’ll build foundational architecture for a company transforming global healthcare delivery.
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Location
Palo Alto, United States
Compensation
$200k-$250k + Equity
Company
Sage Care
Role overview
Sage Care is a technology platform dedicated to streamlining the patient journey and improving access to care through specialized medical AI agents. Its product focuses on intelligent, on-demand triage, specialist matching, and optimized scheduling to reduce administrative burden and help healthcare teams operate more efficiently and at greater scale.
What you will do
- Design and own the agent platform architecture, focusing on orchestration, tool coordination, and dependable multi-step reasoning workflows for live calls.
- Build robust failure handling and recovery systems to make non-deterministic LLM behavior consistent and reliable under real-world production loads.
- Optimize the entire AI stack for latency, cost, and correctness while working closely with voice and telephony infrastructure teams.
Who this is a fit for
- Has 7+ years of software engineering experience with a track record of building and operating production AI or conversational systems end-to-end.
- Possesses deep expertise in LLM orchestration, agent harnesses, and debugging complex non-deterministic systems where performance and reliability are critical.
- Demonstrates strong ownership of production systems, including on-call experience and the ability to mentor other engineers on AI systems design.
Why this role is remarkable
- Ship production-grade AI agents that are already live in hospital systems, handling real patient calls where reliability and empathy are non-negotiable.
- Join a high-pedigree founding team including the co-inventor of the iPhone and founders of Carbon Health and rideOS, backed by General Catalyst.
- Lead a critical technical migration by bringing the event loop in-house, defining the foundational architecture that every other engineer will build upon.
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