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Applied AI Engineer at Abby Care

Join an elite team of ~23 people in San Francisco led by the former Head of Health AI at Amazon to build the future of caregiving. As a key early engineer, you will own the full AI lifecycle—from LLM orchestration to production deployment—shaping a platform that has already reduced hospitalizations by 38%. If you want to move beyond moving dashboard metrics and build AI that transforms lives in a high-ownership, 4-day in-person environment, this is your chance to lead.

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Abby Care

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Location

San Francisco, United States

Compensation

$170k-$230k + Equity

Company

Abby Care

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Role overview

As a key early engineer, you will design and build AI-native products that serve as intelligent copilots for families and clinicians. Reporting to the former Head of Health AI at Amazon, you will own the full lifecycle of applied AI systems, transforming clinical data into proactive care models that have already reduced hospitalizations by 38%.

Making family care possible. At Abby Care, we are tackling one of the most important and unsolved challenges of our time: family caregiving.

Over 50 million Americans are family caregivers for loved ones without pay, tools, or support. Our mission is clear and ambitious: to train and employ family caregivers so they can get paid for the care they already provide at home.

Abby Care is building a tech-powered, family-first care platform to efficiently deliver care, improve health outcomes, and provide the best-in-class experience nationwide.

We are rapidly expanding our mission and looking for passionate team members to join. Abby Care has partnered with leading insurance plans, healthcare providers, and community organizations. We’re supported by top, mission-driven VCs to empower families throughout the country.

What you will do

  • Own end-to-end development of applied AI systems, from model selection and fine-tuning to production deployment and evaluation of agentic workflows.
  • Collaborate with clinical and compliance teams to design safe, trustworthy AI solutions that navigate complex, highly regulated healthcare environments.
  • Proactively prototype and iterate on intelligent features based on real-time feedback from the families and clinicians using your products daily.

Who this is a fit for

  • 3+ years of professional experience in applied AI/ML engineering with a proven track record of shipping products to production.
  • Deep proficiency in Python and the modern AI toolchain, including experience with LLM orchestration, data processing, and cloud platforms like AWS.
  • A pragmatic builder who thrives in ambiguity and is passionate about applying human-in-the-loop AI to solve massive, real-world social challenges.

Why this role is remarkable

  • Work under Xiaoyu Miao (VP Engineering), a pioneer who launched health agents for 1M+ One Medical members and was a founding engineer on Google Glass.
  • Join a Sequoia-backed team that has already delivered 1.9 million hours of care, building on a fully AI-native architecture rather than legacy healthcare systems.
  • High-impact ownership where your models directly support 50 million unpaid family caregivers, moving beyond dashboard metrics to save lives and improve home-based care.

How Jack & Jill work together

Jack
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Jill
I recruit from Jack’s network and make the intro when I spot a great match.
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What happens next?

Jack’s an AI agent for job searching and career coaching. He works for you.

Jill is the AI recruiter working for the company. She recruits from Jack’s network.

If your profile’s a match and Abby Care wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.

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