Sage Care hires its first full‑stack engineers to automate home‑care agency workflows

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Company: Sage Care – an early‑stage startup founded in 2024 that is building an operating system for home‑care agencies. The company is part of Y Combinator’s Summer 2024 batch and has raised a seed round that, while not publicly disclosed, is large enough to support rapid product rollout and early‑stage hiring.

Problem they solve

Home‑care agencies rely heavily on personal relationships, yet the day‑to‑day reality is a mountain of paperwork. Intake coordinators must listen to calls, manually transcribe notes, assemble care plans, and chase follow‑ups. Sage Care’s founders, Ian Gillis and Jon Levinson, argue that this administrative burden pulls staff away from the people they are meant to serve and creates bottlenecks that limit agency growth.

The startup’s answer is an AI‑native CRM and virtual assistant that watches every client call and home‑visit, extracts actionable data, and automatically creates structured care plans, task lists, and system records. By hooking directly into the industry‑standard tools agencies already use—such as WellSky and AxisCare—the platform promises to save over 100 minutes per client intake. The solution runs on both iOS and desktop, giving care workers flexibility in the field.

Funding / traction

Sage Care is described as “well‑funded” and “signing agencies fast.” While the exact amount of the seed round has not been disclosed, the company’s ability to recruit senior engineers and to already have paying agency customers suggests a capital raise in the low‑seven‑figure range, typical for YC‑backed health‑tech startups. The YC affiliation also provides access to a network of investors and mentors, which often translates into follow‑on funding once product‑market fit is demonstrated.

Why the engineering hire matters

The posting is for a Founding Software Engineer (full‑stack) with a compensation package that includes a competitive salary, equity, and the option to work from New York or Miami. The role is positioned as a “first engineering hire,” meaning the successful candidate will shape the technical foundation of the product. Responsibilities include:

• Building and maintaining a Django backend that powers the CRM and stores the structured data generated by AI agents.
• Developing iOS components with SwiftUI, and creating responsive front‑ends using Datastar, Tailwind CSS, and component libraries such as DaisyUI.
• Designing industry‑specific AI agents that understand home‑care terminology and can translate voice calls into structured care plans.
• Integrating with existing agency software (WellSky, AxisCare) via APIs, a critical step for adoption in a market where legacy systems dominate.
• Setting up best practices for code quality, documentation, and HIPAA compliance—an essential requirement for any health‑tech product handling protected health information.

The posting emphasizes autonomy: the engineer will report directly to the CTO, define scope, and influence the product roadmap. This level of ownership is rare outside of founding teams and signals that Sage Care expects rapid iteration and early customer feedback loops.

Market context

The home‑care sector in the United States is projected to exceed $120 billion by 2027, driven by an aging population and a shortage of skilled caregivers. Yet technology adoption has lagged because many agencies rely on paper‑based processes or disjointed software stacks. By automating intake and documentation, Sage Care targets a clear efficiency gap that could translate into lower operating costs and higher caregiver satisfaction.

If the AI agents perform as advertised, agencies could reduce administrative overhead, free up staff for direct care, and improve data accuracy—potentially leading to better outcomes for patients and lower liability for providers.

What to watch

• Regulatory compliance – The platform must maintain HIPAA standards across its AI pipelines, a non‑trivial engineering challenge.
• Integration depth – Success will depend on how seamlessly Sage Care can pull data from and push updates to entrenched systems like WellSky.
• Scalability of AI – Real‑time transcription and intent extraction require robust models that can handle diverse accents, background noise, and domain‑specific jargon.

For engineers interested in health‑tech, the role offers a chance to work on a problem that blends AI, full‑stack development, and mobile UX while directly impacting the quality of care delivered to vulnerable populations.

Apply

Candidates can apply through the Y Combinator job board, where the posting lists a salary range of $125 K–$250 K and an equity stake between 0.02 % and 2 %. The company is looking for professionals with at least three years of full‑stack experience, proficiency in Python and/or iOS development, and a willingness to work in a fast‑moving, early‑stage environment.