Tech Lead, Applied AI

About this role

ABOUT ABBY CARE: POWERING THE FUTURE OF CARE AT HOME FOR ALL OF AMERICA.

Abby Care is building the leading AI-native platform for family-led care. America is facing a growing care crisis. Millions more people need care at home than ever. Over 50 million family caregivers support loved ones without the tools, training, or recognition they deserve.

We believe families are the largest untapped caregiving workforce in America, and that technology can help them deliver better care while driving stronger outcomes and greater transparency across the healthcare system.

Abby Care combines clinical oversight with an AI-powered platform to train, enable, and support family caregivers in delivering high-quality care at home. Our platform helps health plans and government partners better understand, verify, and improve care in the home. We expand access to care, reduce reliance on higher-cost settings, and help ensure public dollars are spent effectively.

We are proud to partner with leading health plans, providers, and community organizations and are backed by top VCs. We envision a future where family-led care is a core part of the healthcare system. Abby Care is building that future.

Join us in solving one of the most important challenges of our time.

THE OPPORTUNITY

Abby Care is building an AI-native operating system for home care—one that manages the full lifecycle from caregiver and patient intake through care delivery, billing, and compliance.

As we expand our capacity to support more family caregivers at scale, we’re looking for an Applied AI Technical Lead to define and build the intelligence layer of this platform. Reporting to the VP, Head of Engineering, you will serve as the senior technical leader for Applied AI across the company.

You will identify the highest-leverage opportunities for AI, define the technical architecture and roadmap, and lead the development of production systems that execute complex healthcare workflows. These systems may collect and interpret clinical documents, prepare prior authorization packets, assist caregivers and clinicians, coordinate operational work, predict risk, or surface exceptions requiring human judgment.

A true builder-leader, you are equally comfortable setting long-term technical direction, mentoring engineers, and going deep into implementation. You understand that building reliable AI systems requires more than connecting an application to a model: it requires thoughtful workflow design, rigorous evaluation, strong software engineering, and clear boundaries between autonomous execution and human oversight.

If you are excited to build and lead the Applied AI function at a fast-growing company while transforming how high-quality care is delivered in the home, we’d love to hear from you!

This is a full-time hybrid opportunity based in San Francisco, California, with four days per week in person.

WHAT YOU’LL WORK ON

Set the Applied AI vision and roadmap: Define how AI will transform workflows across intake and enrollment, care delivery, revenue cycle management, and compliance. Partner with Engineering, Product, Clinical, Operations, and Analytics to prioritize the highest-leverage opportunities.

Build the intelligence layer of Abby Care’s operating system: Architect and develop agentic systems that reason over complex information, interact with internal tools, and execute consequential healthcare workflows end to end.

Design for safe and scalable autonomy: Establish human-in-the-loop and human-on-the-loop patterns based on risk, reversibility, confidence, and regulatory requirements, combining AI with deterministic systems where appropriate.

Create shared AI foundations: Build reusable capabilities for orchestration, retrieval, knowledge representation, tool use, memory, structured outputs, evaluation, tracing, and feedback loops.

Establish production and evaluation rigor: Define how Abby Care measures, monitors, and improves AI systems across quality, safety, reliability, latency, cost, and downstream operational outcomes.

Build and lead the Applied AI function: Recruit and mentor engineers, set a high technical bar, embed AI engineers into domain teams, and remain hands-on in the most ambiguous and technically critical areas.

WHAT SUCCESS LOOKS LIKE

- Abby Care has a clear, prioritized Applied AI strategy tied to measurable company and product outcomes.

- High-impact AI systems are operating reliably in production and completing meaningful portions of end-to-end workflows.

- AI autonomy is governed by explicit risk, confidence, and human-approval mechanisms.

- The organization has rigorous evaluation, monitoring, and feedback systems that make AI performance measurable and auditable.

- Domain teams can build on reusable AI primitives instead of repeatedly creating one-off solutions.

- Applied AI capabilities are tightly integrated with Abby Care’s System of Record, product workflows, and operational processes.

- The Applied AI team attracts strong talent, operates with high technical standards, and becomes a force multiplier across the company.

- Abby Care increases operational throughput and quality without proportional growth in manual coordination or headcount.

WHAT YOU’LL HAVE

- 8+ years of experience in software engineering, machine learning, or Applied AI, with significant experience building production systems.

- Demonstrated experience defining the architecture and leading the delivery of AI-powered products or platforms.

- Strong hands-on experience with modern language models, agent architectures, retrieval systems, tool use, structured outputs, and evaluation.

- Experience designing systems that operate over complex, incomplete, or unstructured real-world data.

- Strong software engineering and system-design fundamentals, including backend architecture, APIs, distributed systems, and data modeling.

- Experience establishing evaluation methodologies and production monitoring fo

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