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Senior Applied AI Engineer

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Senior Applied AI Engineer in USA new

  • Abby Care
  • Full time
  • Email
  • 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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