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Abby Care

Trains family caregivers for Medicaid reimbursement

Applied AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$175k - $235k /yr

About the Job

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 using language models, machine-learning models, or modern AI application programming interfaces.
  • Familiarity with backend development, application programming interfaces, 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.

Responsibilities

  • Develop agents, copilots, and intelligent workflows that help caregivers, clinicians, and operational teams deliver care at scale.
  • Build backend services, application programming interfaces, 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, measure performance, analyze failures, and improve models, prompts, retrieval, tools, and workflow logic based on evidence.
  • Partner with Product, Design, Clinical, and Operations to understand real workflows, identify edge cases, and iterate based on production feedback.
  • Write maintainable, well-tested code and help build shared capabilities for orchestration, tool use, structured outputs, monitoring, tracing, and evaluation.
  • Ship AI-powered capabilities that solve real problems for caregivers, clinicians, and operational teams.
  • Move work from prototype to reliable production functionality.
  • Support systems with clear evaluations, monitoring, and documented limitations.
  • Use production feedback and error analysis to improve system quality over time.
  • Develop reusable components that accelerate future applied AI work.
  • Grow the ability to independently own increasingly complex projects and technical decisions.
  • Build an understanding of when to use AI, deterministic software, or human review to produce the best outcome.

Desired Qualifications

  • Experience with Python, agent architectures, retrieval-augmented generation, document intelligence, multimodal models, structured generation, model evaluation, monitoring, or prompt optimization.
  • Experience in healthcare, fintech, insurance, another regulated environment, a startup, or an operations-intensive business.

About the Company

Abby Care

Trains family caregivers for Medicaid reimbursement

Abby Care provides home health services and a tech-enabled platform that trains and certifies family members to become paid caregivers (CNA/HHA) for relatives with disabilities on Medicaid. Families complete virtual, self-paced training at no cost, then become Abby Care W-2 employees who are paid weekly as they deliver in-home care documented via a mobile app. The platform includes care documentation, a caregiver community, and RN-supervised mentorship with data-driven care plans. The company aims to expand access to qualified in-home, family-based caregiving, leverage Medicaid reimbursement to reduce hospitalizations and institutional care costs, and grow across multiple states.

Company size
201-500
Company stage
Series C
Total funding
$117M
Headquarters
San Francisco, CA
Founded
2021

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