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About the Role

Abby Care is seeking an Applied AI Engineer to build AI-powered products and workflow automation that help caregivers, clinicians, and operational teams deliver better care. You will contribute across the development lifecycle, from prototyping to implementing production systems, and learn from real-world usage. This role is ideal for someone excited to grow as an Applied AI engineer while transforming home care delivery.

Responsibilities

Build AI-powered products and automation: Develop agents, copilots, and intelligent workflows that help caregivers, clinicians, and operational teams deliver better care at scale.
Develop production systems: Build backend services, APIs, data pipelines, integrations, and reusable AI components required to move solutions from prototype to reliable production use.
Work with complex healthcare information: Create systems that extract, retrieve, and reason over clinical documents, conversations, operational records, and other structured and unstructured data.
Evaluate and improve system quality: Build representative datasets, measure performance, analyze failures, and improve models, prompts, retrieval, tools, and workflow logic based on evidence.
Learn directly from users and operations: Partner with Product, Design, Clinical, and Operations to understand real workflows, identify edge cases, and rapidly iterate based on production feedback.
Contribute to strong engineering foundations: Write maintainable, well-tested code and help build shared capabilities for orchestration, tool use, structured outputs, monitoring, tracing, and evaluation.

Requirements

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 using 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.

Skills

Python
agent architectures
retrieval-augmented generation
document intelligence
multimodal models
structured generation
model evaluation
monitoring
prompt optimization

Location

San Francisco, California

Work Type

Full-time
Hybrid

Experience Level

2+ years of professional software engineering, machine learning, or Applied AI experience

Benefits

Competitive compensation packages
Comprehensive health coverage (medical, dental, vision)
HSA with company-funded contributions
Employer-paid life and disability insurance
Generous paid time off
10 paid company holidays
Financial savings benefits (HSA contributions, optional FSA and 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, addressing the growing care crisis in America.
The company combines clinical oversight with an AI-powered platform to train, enable, and support family caregivers.
Abby Care's platform helps health plans and government partners understand, verify, and improve care in the home, expanding access and reducing reliance on higher-cost settings.
The company partners with leading health plans, providers, and community organizations and is backed by top VCs.
Abby Care envisions a future where family-led care is a core part of the healthcare system.

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.
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.