---
title: 'Software Engineer, AI Research & Prototyping at Sage Care Inc'
canonical: 'https://feeny.ai/job/software-engineer-ai-research-prototyping-sage-care-inc-hq-ds3hfbtwepcy'
type: 'job'
last_seen: '2026-09-09'
---

# Software Engineer, AI Research & Prototyping at Sage Care Inc

- **Company:** Sage Care Inc
- **Location:** HQ
- **Compensation:** $160k–$200k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-07-29
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/sagecare/4e80aa65-9f5e-46ca-b9b5-2c97194fc23f

## 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

AI is moving fast. New models, new orchestration patterns, and new evaluation techniques appear every month, and some of them would make our agents meaningfully better.

We are hiring a Software Engineer to own that pipeline from idea to evidence.

You will stay close to what is emerging in the research community and the voice AI ecosystem, design experiments we can trust, and turn promising ideas into tested prototypes on real production data. Just as importantly, you will teach: every investigation you run ends in something the team can use, whether that is a benchmarked prototype, a technical deep-dive, or a clear recommendation with evidence behind it.

## WHAT YOU'LL DO

- Track emerging techniques in voice AI and agents orchestration, and identify which ones matter for us
- Build rapid prototypes and test them against real conversation data or within engineering development process
- Run head-to-head evaluations of models, providers, and techniques (reasoning approaches, speech models, orchestration patterns)
- Turn every investigation into a team-usable artifact: a benchmark, a written deep-dive, a tech talk, or a recommendation with evidence
- Work with platform engineers to hand off validated ideas for production implementation

## WHAT WE'RE LOOKING FOR

Required

- 3+ years of software engineering or applied ML experience
- Strong coding skills; able to build and run your own experiments end-to-end without infrastructure support
- Hands-on experience with LLMs: prompting, evaluation, and an intuition for how model behavior changes across techniques and providers
- Experimental rigor: experience designing tests with controls, baselines, and honest measurement
- A track record of teaching or knowledge transfer in some form: teaching or TA experience, workshops, technical writing, internal tech talks, well-documented open source, or developer education
- Intellectual honesty: comfortable reporting that a promising idea did not work

## Nice to Have

- Advanced degree (MS/PhD) in CS, ML, or a related field, or equivalent research experience
- Experience with voice or speech systems (STT, TTS, real-time pipelines)
- Publications, technical blog posts, or open-source work we can read
- Experience taking a prototype through to production with an engineering team
- Experience evaluating AI systems in healthcare or other high-stakes domains

## WHAT SUCCESS LOOKS LIKE

- The team learns about relevant new techniques from you
- Ideas are adopted or killed based on evidence
- Validated prototypes hand off cleanly to platform engineers, with the reasoning documented
- Six months in, engineers across the team can explain why our stack makes the choices it makes
- Our AI decisions get faster and more confident because the evidence base keeps growing

## 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)

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