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About the Role

Abby Care is building the leading AI-native platform for family-led care. 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. You will serve as the senior technical leader for Applied AI across the company, identifying high-leverage opportunities for AI, defining the technical architecture and roadmap, and leading the development of production systems. This role requires a builder-leader who is comfortable setting technical direction, mentoring engineers, and diving deep into implementation, understanding that reliable AI systems require thoughtful workflow design, rigorous evaluation, strong software engineering, and clear boundaries between autonomous execution and human oversight.

Responsibilities

Set the Applied AI vision and roadmap, defining 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.
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, establishing human-in-the-loop and human-on-the-loop patterns based on risk, reversibility, confidence, and regulatory requirements.
Combine AI with deterministic systems where appropriate.
Build reusable capabilities for orchestration, retrieval, knowledge representation, tool use, memory, structured outputs, evaluation, tracing, and feedback loops.
Establish production and evaluation rigor, defining 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, recruiting and mentoring engineers, setting a high technical bar, embedding AI engineers into domain teams, and remaining hands-on in ambiguous and technically critical areas.

Requirements

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 for probabilistic systems.
Demonstrated ability to identify high-leverage problems and drive them from ambiguous problem definition through measurable outcomes.
Experience providing technical leadership across teams and mentoring senior engineers.
Strong product and operational judgment, including the ability to balance autonomy, reliability, speed, cost, and risk.
Outstanding written and verbal communication skills, with the ability to align technical and nontechnical stakeholders.
Must reside in or be willing to permanently relocate to the San Francisco Bay Area.
Experience with model fine-tuning, post-training, reinforcement learning, synthetic data generation, knowledge graphs, ontologies, workflow engines, or state machines is preferred but not required.
Experience in healthcare, fintech, insurance, or another regulated and operations-intensive environment is preferred but not required.

Skills

AI
Machine Learning
Software Engineering
Applied AI
Production Systems
AI-powered products
AI-powered platforms
Modern language models
Agent architectures
Retrieval systems
Tool use
Structured outputs
Evaluation
Complex data systems
Unstructured data systems
Backend architecture
APIs
Distributed systems
Data modeling
Probabilistic systems
Technical leadership
Mentoring
Product judgment
Operational judgment
Communication

Location

San Francisco, California

Work Type

Full-time
Hybrid

Experience Level

8+ years of experience

Salary/Compensations

Competitive compensation packages that reflect the value you bring.

Benefits

Comprehensive health coverage (medical, dental, vision)
HSA with company funding
Employer-paid life and disability insurance
Generous paid time off
10 paid company holidays
HSA contributions
Optional FSA
Commuter benefits
Full coverage of all 401(k) account fees
Paid parental leave

About the Company

Abby Care is building the leading AI-native platform for family-led care.
America is facing a growing care crisis with millions needing care at home.
Over 50 million family caregivers support loved ones without adequate tools, training, or recognition.
Abby Care believes families are the largest untapped caregiving workforce and technology can help them deliver better care.
The platform combines clinical oversight with AI to train, enable, and support family caregivers.
Abby Care helps health plans and government partners understand, verify, and improve care in the home.
The company expands access to care, reduces reliance on higher-cost settings, and ensures public dollars are spent effectively.
Abby Care partners with leading health plans, providers, and community organizations and is backed by top VCs.
The company envisions a future where family-led care is a core part of the healthcare system.
Abby Care is building an AI-native operating system for home care, managing the full lifecycle from intake through billing and compliance.

Equal Opportunity

Abby Care may use automated decision tools to help match and rank candidate work experience, education and skills found in online profiles, resumes and job applications against job requirements.
These tools help ensure objective, data-based decisions during the hiring process.
All Abby Care hiring decisions involve final human review and input.
If you have questions or would like to request an alternative process, contact talent@abbycare.org.