
Sage Care (YC S24) Seeks Founding Software Engineer to Transform Home Care Operations via AI Automation
Sage Care, a Y Combinator S24 startup, is recruiting a Founding Software Engineer to lead the development of its AI-native operating system for home care agencies. The company aims to eliminate the administrative burden currently overwhelming home care providers by automating manual tasks such as call transcription, care plan creation, and follow-up management. By integrating with industry-standard tools like WellSky and AxisCare, Sage Care’s platform reportedly saves agencies over 100 minutes per client intake. The role offers a competitive salary range of $125K to $250K and significant equity, targeting full-stack engineers with experience in Django, AI agents, and mobile development. Based in New York or Miami, the position involves shaping the technical foundation of a platform designed to return the focus of home care back to patient service.
Key Takeaways
- Mission-Driven Automation: Sage Care is building an AI-native CRM and virtual assistant to automate the heavy administrative overhead in home care agencies.
- Significant Efficiency Gains: The platform saves agencies over 100 minutes per client intake by automating call transcription and care plan generation.
- Founding Engineering Opportunity: The startup is hiring an early-stage engineer with a salary range of $125K - $250K and 0.02% - 2.00% equity.
- Modern Technical Stack: The role requires expertise in Django, AI agents, Datastar, Tailwind CSS, and SwiftUI for cross-platform development (iOS and desktop).
- Strategic Integrations: Sage Care works directly with existing industry tools such as WellSky and AxisCare to ensure seamless workflow adoption.
In-Depth Analysis
Addressing the Administrative Crisis in Home Care
Home care agencies are currently facing a critical bottleneck: the overwhelming volume of manual paperwork. According to Sage Care, intake coordinators are "drowning in paperwork," spending a disproportionate amount of their time manually transcribing phone calls, building care plans from scratch, and managing follow-up tasks. This administrative burden does more than just increase operational costs; it actively detracts from the quality of care by pulling attention away from the individuals the agencies are meant to serve.
Sage Care’s solution is the development of an "operating system" specifically designed for home care. Unlike generic CRMs, this platform is AI-native, meaning artificial intelligence is not an add-on but the core engine of the product. By turning every client call and home visit into structured data—including care plans, system records, and follow-up tasks—the platform allows agencies to operate with a level of efficiency previously unattainable. The reported saving of over 100 minutes per client intake represents a transformative shift in how these agencies manage their daily operations.
The Role of the Founding Software Engineer
As one of the earliest engineering hires for Sage Care, the Founding Software Engineer will occupy a pivotal position in the company’s trajectory. Reporting directly to the CTO and collaborating closely with the founders, the individual in this role will be responsible for more than just writing code; they will be instrumental in shaping the technical foundation of the entire platform.
The technical requirements for the role are diverse, reflecting the complex nature of building a vertical AI solution. The stack includes Django for the backend application, Datastar for responsive front-end features, and Tailwind CSS and SwiftUI for creating accessible user interfaces across desktop and native iOS environments. A core component of the role involves implementing AI agents specifically tailored to the home care industry. This requires a deep understanding of how to translate unstructured audio and text from home visits and calls into the highly structured formats required for care plans and medical records.
Strategic Integration and Market Positioning
One of the primary challenges for any new software entering the healthcare or home care space is the presence of legacy systems. Sage Care addresses this by integrating directly with tools that agencies already use, such as WellSky and AxisCare. This strategy reduces the friction of adoption, allowing agencies to benefit from AI automation without having to completely overhaul their existing infrastructure.
Being part of the Y Combinator S24 cohort and being "well-funded" provides Sage Care with the resources and network necessary to scale quickly. The company is already signing agencies at a fast pace, indicating a strong product-market fit. The focus on both New York and Miami as primary hubs suggests a strategic presence in markets with high demands for home care services. By positioning itself as the AI-native operating system for this sector, Sage Care is aiming to define a new category of healthcare software that prioritizes automation and user experience.
Industry Impact
The emergence of Sage Care highlights a broader trend in the AI industry: the shift toward vertical AI applications. Rather than building general-purpose AI tools, startups are increasingly focusing on solving specific, high-friction problems within niche industries. In the case of home care, the impact of this technology could be profound. By automating the "overhead" that slows down agencies, AI allows for a more scalable model of care. As the population ages and the demand for home-based services increases, the ability to process intakes and manage care plans efficiently will become a competitive necessity for agencies. Sage Care’s approach suggests that the future of healthcare administration lies in invisible, automated systems that allow human providers to focus entirely on patient interaction.
Frequently Asked Questions
Question: What specific problems does Sage Care solve for home care agencies?
Sage Care addresses the administrative overhead that agencies face, specifically the hours spent manually transcribing calls, building care plans, and managing follow-up tasks. It automates these processes, turning unstructured interactions into structured system records and care plans.
Question: What are the technical requirements for the Founding Software Engineer role?
Candidates should have 3+ years of experience and be proficient in full-stack development. Specific skills required include Django, AI agents, Datastar, Tailwind CSS, and SwiftUI. The role involves building both the web application and the native iOS app.
Question: How does Sage Care integrate with existing home care software?
Sage Care is designed to work alongside the tools agencies already use. It features direct integrations with major industry platforms like WellSky and AxisCare, ensuring that the AI-generated data flows seamlessly into existing workflows.

