Senior Applied AI Engineer

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Senior Applied AI Engineer in USA new

Abby Care
Full time
Email

USA
10/16/2026
Report

San Francisco, CA

Responsibilities

Own applied AI initiatives end to end, from workflow discovery and technical design through deployment, iteration, and measurable business or care outcomes.
Build reliable agents and copilots that reason over structured and unstructured data, use internal tools, and execute multi-step workflows.
Combine models, retrieval, rules, state machines, and human oversight to handle incomplete information, conflicting evidence, changing requirements, and operational edge cases.
Create representative datasets, evaluation harnesses, production tracing, confidence-based escalation, monitoring, and systematic error-analysis processes.
Integrate AI capabilities into complete product and operational workflows with Product, Design, Clinical, Operations, Analytics, Platform, and System of Record teams.
Contribute reusable platform capabilities, influence architecture, mentor engineers, and improve Applied AI development practices.

Requirements

5+ years of professional software engineering, machine learning, or applied AI experience.
Experience building and operating AI- or machine-learning-powered systems in production.
Hands-on experience with language models, retrieval systems, structured generation, model APIs, or agent architectures.
Strong software engineering fundamentals in backend systems, APIs, data modeling, testing, and observability.
Experience designing evaluations and analyzing probabilistic-system behavior.
Ability to own ambiguous cross-functional problems, exercise judgment about AI versus deterministic or human-review approaches, and communicate technical concepts clearly.
Experience mentoring engineers, leading technically complex projects, or influencing architectural decisions.
Must reside in or be willing to permanently relocate to the San Francisco Bay Area.
Preferred experience includes model fine-tuning, post-training, reinforcement learning, synthetic data generation, multimodal models, document intelligence, knowledge graphs, ontologies, workflow engines, state machines, or regulated and operations-intensive industries.

Benefits

Competitive compensation packages and comprehensive medical, dental, and vision coverage, including a $0 deductible PPO, 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 full coverage of 401(k) account fees; employer match is not currently offered.
Paid parental leave.
Full-time hybrid work in San Francisco, California, with four days per week in person.

Salary: $220k - $270k/yr

Abby Care

Abby Care builds an AI-native platform that trains, equips, and supports family caregivers to deliver in-home care, pairing software with clinical oversight. The company partners with health plans, providers, and government programs to verify, improve, and expand home-based care and offers traini...

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