Abby Care is a healthcare organization helping families receive compensation for providing in-home care to relatives with disabilities or special needs. Its team trains and certifies family caregivers at no cost, coordinates hiring and payroll, and helps families navigate Medicaid and insurance processes to secure payment. Abby Care also provides a caregiving platform, clinical support, and community resources, working with insurers and Medicaid programs across multiple U.S. states to support high-quality family caregiving.
Senior Applied AI Engineer – Abby Care
Lead development of production AI agents and copilots for Abby Care’s home care platform. Automate clinical, billing, compliance, and operational workflows.
United States
California$220,000 – $270,000 / year
HybridFull-timeSeniorEnglish RequiredAI EngineerMachine Learning EngineerDescription
- Lead AI systems from workflow discovery and design through deployment, refinement, and measurable results
- Build dependable agents and copilots that work with structured and unstructured data, internal tools, and multi-step tasks
- Design for missing information, conflicting evidence, changing requirements, and operational edge cases, using models, retrieval, rules, state machines, and human review
- Create evaluation datasets and harnesses, production tracing, confidence-based escalation, and systematic error analysis
- Integrate AI into end-to-end workflows with Product, Design, Clinical, Operations, Analytics, Platform, and system-of-record engineering teams
- Develop reusable platform capabilities and help shape architectural decisions
- Mentor engineers and improve Applied AI development and operations
- Build production AI for healthcare tasks such as clinical documentation, evidence interpretation, prior authorization, nursing visit support, billing risk detection, and operational follow-up
Requirements
- At least five years of professional experience in software engineering, machine learning, or Applied AI
- Experience building and operating production systems powered by AI or machine learning
- Practical experience with language models, retrieval systems, structured generation, model APIs, or agent architectures
- Strong software engineering foundations, including backend systems, APIs, data modeling, testing, and observability
- Experience designing evaluations and analyzing probabilistic system behavior
- Ability to take ambiguous, cross-functional problems through implementation and iteration
- Sound judgment about when to use AI and when deterministic methods or human review are needed
- Ability to explain complex technical concepts to technical and nontechnical colleagues
- Experience mentoring engineers, leading technically complex projects, or influencing architecture
- Must live 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, multimodal models, document intelligence, knowledge graphs, ontologies, workflow engines, or state machines is preferred but not required
- Experience in healthcare, fintech, insurance, or another regulated, operations-intensive field is preferred but not required
Benefits
- Competitive compensation packages
- Medical, dental, and vision coverage, including a PPO with a $0 deductible
- Company-funded HSA
- Employer-paid life and disability insurance
- Generous paid time off
- Ten paid company holidays
- HSA contributions
- Optional FSA and commuter benefits
- Full coverage of 401(k) account fees; no employer match is currently offered
- Paid parental leave
- Equity