Responsibilities
- Build agents, copilots, and intelligent workflows that support caregivers, clinicians, and operational teams.
- Develop backend services, APIs, data pipelines, integrations, and reusable AI components for reliable production use.
- Create systems that extract, retrieve, and reason over clinical documents, conversations, operational records, and other structured and unstructured data.
- Build representative datasets, evaluate system performance, analyze failures, and improve models, prompts, retrieval, tools, and workflow logic.
- Partner with Product, Design, Clinical, and Operations to understand workflows, identify edge cases, and iterate from production feedback.
- Write maintainable, well-tested code and contribute shared capabilities for orchestration, tool use, structured outputs, monitoring, tracing, and evaluation.
Requirements
- At least 2 years of professional software engineering, machine learning, or Applied AI experience, or equivalent demonstrated ability.
- Strong programming skills and software engineering fundamentals.
- Experience building applications with language models, machine-learning models, or modern AI APIs.
- Familiarity with backend development, APIs, data processing, testing, and production software systems.
- Ability to structure ambiguous problems, test assumptions, and iterate based on evidence.
- Interest in building evaluations and understanding why AI systems succeed or fail.
- Strong ownership, curiosity, and willingness to engage directly with users and operational workflows.
- Clear written and verbal communication skills.
- Must reside in or be willing to permanently relocate to the San Francisco Bay Area.
- Preferred experience includes Python, agent architectures, retrieval-augmented generation, document intelligence, multimodal models, structured generation, model evaluation, monitoring, or prompt optimization.
- Preferred domain experience includes healthcare, fintech, insurance, another regulated environment, a startup, or an operations-intensive business.
Benefits
- Full-time hybrid role based in San Francisco, California, with four days per week in person.
- Comprehensive medical, dental, and vision coverage, including a $0 deductible PPO and company-funded HSA.
- Employer-paid life and disability insurance.
- Generous paid time off and 10 paid company holidays.
- HSA contributions, optional FSA and commuter benefits, and coverage of all 401(k) account fees; no employer match currently offered.
- Paid parental leave.
Tech Stack
Categories
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 60 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.