---
title: 'Software Engineer, Agent Platform at Sage Care Inc'
canonical: 'https://feeny.ai/job/software-engineer-agent-platform-sage-care-inc-hq-apfn1pttg18y'
type: 'job'
last_seen: '2026-09-09'
---

# Software Engineer, Agent Platform at Sage Care Inc

- **Company:** Sage Care Inc
- **Location:** HQ
- **Compensation:** $200k–$250k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-04-07
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/sagecare/91ef00d3-f0f1-45bb-b26a-3164f0f68718

## Job description

## ABOUT SAGE CARE

Sage Care is a fast-growing, early-stage healthcare startup founded by exceptional leaders from Apple, Uber, Carbon Health and backed by top-tier venture capital (General Catalyst, Chelsea Clinton). With a strong customer pipeline, Sage Care is transforming healthcare by simplifying care navigation.

Our platform makes it easier for patients to find the right doctor, helps providers focus on those who need them most, and ensures faster access to care, delivering better care and stronger economic outcomes at scale through harnessing the latest AI innovations.

Building on our successful collaborations with health systems across the U.S., we have expanded internationally to the MENA region. We are now partnering with health systems there to deploy our AI-powered care navigation platform.

## ABOUT THE ROLE

Our AI voice agents handle real patient conversations for hospital systems in production today. At the core of every conversation is the agent platform: the reasoning, orchestration, tool use, and control-flow systems that determine how an agent behaves in a live call.

We are hiring a Software Engineer to own this platform. Your mission is to make LLM-powered reasoning scale: consistent, observable, and reliable under real production load, across thousands of conversations where the model is non-deterministic but the outcome cannot be.

This is a deeply hands-on role. You will write code, debug production issues, and make the foundational architecture decisions that other engineers build on. You will work alongside the engineers who own our real-time voice and telephony infrastructure; they own how audio moves, you own how agents think and act.

## WHAT YOU'LL DO

- Design and own the agent platform architecture: orchestration, tool use, and control flow
- Build the systems that let agents operate reliably across real-world patient interactions
- Make multi-step reasoning dependable: workflow selection, tool coordination, failure handling, and recovery
- Debug and resolve complex production issues (edge cases, failures, regressions) in non-deterministic systems
- Optimize performance across the stack (latency, cost, reliability)
- Define the patterns and best practices for how Sage builds and operates AI agents
- Mentor engineers and raise the bar on AI systems design and execution

## WHAT WE'RE LOOKING FOR

Required

- 7+ years of software engineering experience
- Experience building and operating production AI systems (agents, conversational systems, or ML-powered workflows) that handle real user interactions end-to-end
- Strong understanding of:
- agent orchestration and tool use
- multi-step workflows and control flow
- LLM behavior in real-world settings
- Strong debugging skills across complex, non-deterministic systems
- Experience working with systems where latency, correctness, and reliability matter simultaneously
- Demonstrated experience owning systems in production: on call, debugging incidents, and improving systems based on real usage

## Nice to Have

- Experience with voice systems (speech-to-text, text-to-speech, real-time pipelines)
- Experience building agent harnesses, orchestration layers, or execution frameworks
- Experience optimizing low-latency / real-time AI systems
- Experience working with multiple model providers or inference stacks
- Experience in healthcare or other safety-critical, regulated domains

## WHAT SUCCESS LOOKS LIKE

- Agents that handle real-world patient interactions reliably and predictably
- Clear, scalable agent architecture (not ad-hoc or fragile systems)
- Reasoning that holds up as we add partners, use cases, and call volume
- Fast identification and resolution of production issues
- Systems that balance flexibility (AI) with control (engineering)
- Patterns that make every engineer at Sage better at building agents

## About Sage Care Inc

## Company Overview
- **One-liner**: Sage Care builds an AI-powered care navigation platform that helps health systems triage, schedule, and connect patients to the right care more efficiently.
- **Entity Type**: Private (venture-backed, early-stage)
- **Headquarters**: San Francisco, CA (likely – not explicitly stated; team background suggests Bay Area)
- **Founded**: Not publicly available
- **Founders**: Justin Ho (CEO), Dr. Caesar Djavaherian (Chief Medical Officer), Chris Blumenberg (CTO) — repeat entrepreneurs with prior exits from Carbon Health, rideOS, and Uber

## Core Business
- **Primary industry/industries**: Healthcare technology (care navigation, patient access, clinical operations)
- **Target customers**: Health systems, hospitals, and provider organizations (B2B)
- **Mission or purpose**: “Make healthcare more efficient and scalable” by eliminating operational inefficiencies that frustrate patients and providers, and ensuring patients get the right care at the right time ([sage.care/about-us](https://www.sage.care/about-us))

## Products & Services
- **Sage (Care Navigation OS)**: An AI-powered platform that orchestrates patient calls, triage, and scheduling. Core modules include:
  - **AI-powered patient support**: Automates routine patient inquiries via call or text with human-like responses and SOP execution.
  - **Clinically informed copilot**: Provides real-time triage recommendations and automated documentation for clinical staff.
  - **Intelligent provider & patient matching**: Aligns patient needs with provider preferences to reduce no-shows and optimize schedules, utilization, and revenue.
Product type: SaaS / API-based healthcare operations platform ([sage.care](https://www.sage.care/))

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total funding not publicly available; notable metrics from leadership background include scaling Carbon Health to 138 clinics and over $200M in annual revenue, and building rideOS’s dispatch system that improved Gopuff’s profitability by $450M+ annually.
- **Notable Investors/Partners**: Mentioned as “backed by transformative investors” but names not disclosed. Customers include Bronson Healthcare and Jiva Health.
- **Growth Signals**: Team consists of repeat entrepreneurs with $1B+ in cumulative exits; platform is “trusted by leading health care systems”; actively hiring across multiple roles.

## Competitive Advantages
- **Deep clinical + AI expertise**: Founders combine frontline clinical experience (Carbon Health) with world-class engineering (Apple, Uber self-driving).
- **Clinically grounded design**: Tools are built in partnership with healthcare teams, incorporating evidence-based protocols and user feedback to ensure safety and practicality.
- **Human-centric AI**: Focus on empathetic, efficient interactions – not just automation – which differentiates from “clunky” alternatives (per customer quotes).

## Strategic Focus
- **Current priorities**: Scaling AI-driven care navigation to reduce administrative burden, improve patient access, and drive operational efficiency for health systems. Expanding platform capabilities and deepening integrations with existing health system workflows.
- **Direction for growth**: Continuing to invest in AI that “eases staff workload” and “gets patients to the right care faster,” with an emphasis on evidence, safety, and transparency.

## Why Work Here
- **Culture highlights**: Described as “a culture of innovation and impact” where employees tackle “complex, meaningful problems with real healthcare impact.” Values include collaboration over individual credit, intellectual curiosity, and a commitment to improving healthcare.
- **Remote/hybrid/office policy**: Not explicitly stated; job postings (via Ashby) and language like “We’re looking for people who care deeply” suggest a remote-friendly or hybrid environment typical of early-stage tech.
- **Notable perks**: “Competitive compensation and comprehensive benefits” are called out on the careers page. Team includes former engineers from Apple, Uber, and Carbon Health, offering a steep learning curve in AI and healthcare.
- **Engineering culture**: Emphasis on building “systems that are clinically grounded” and “shaped by user feedback” – a blend of technical rigor and real-world impact.

## Sources
1. [sage.care/careers](https://www.sage.care/careers)
2. [sage.care/about-us](https://www.sage.care/about-us)
3. [sage.care](https://www.sage.care/)
4. [sage.care/our-team](https://www.sage.care/our-team)
5. [jobs.ashbyhq.com/sagecare](https://jobs.ashbyhq.com/sagecare)

## Other roles at Sage Care Inc

- [Product Manager, Agent Intelligence](https://feeny.ai/job/product-manager-agent-intelligence-sage-care-inc-hq-0evy52m3jmvn) — HQ
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- [Data Engineer](https://feeny.ai/job/data-engineer-sage-care-inc-hq-sa6wqnqt818v) — HQ
- [Knowledge Routing Engineer](https://feeny.ai/job/knowledge-routing-engineer-sage-care-inc-hq-e2yk94bsp53a) — HQ
- [Data Analytics Engineering](https://feeny.ai/job/data-analytics-engineering-sage-care-inc-hq-te0vp89d688t) — HQ
- [Software Engineer, AI Research & Prototyping](https://feeny.ai/job/software-engineer-ai-research-prototyping-sage-care-inc-hq-ds3hfbtwepcy) — HQ
- [Cloud Engineer](https://feeny.ai/job/cloud-engineer-sage-care-inc-hq-cxw1za6h5n81) — HQ
- [Founding Product Designer](https://feeny.ai/job/founding-product-designer-sage-care-inc-hq-hm0ytzxg8h82) — HQ
- [Frontend Engineer - Platform Architecture](https://feeny.ai/job/frontend-engineer-platform-architecture-sage-care-inc-hq-z0mqh3n7sgm7) — HQ
- [Software Engineer, Voice AI](https://feeny.ai/job/software-engineer-voice-ai-sage-care-inc-hq-fyrfqsxfkepv) — HQ