Senior Applied AI Engineer

Abby Care • San Francisco, CA

1d • $220,000 - $270,000 • Hybrid

About The Position

Abby Care is building the leading AI-native platform for family-led care. America is facing a growing care crisis, with millions needing care at home and over 50 million family caregivers lacking the necessary tools, training, or recognition. Abby Care believes families are the largest untapped caregiving workforce and that technology can empower them to deliver better care, driving stronger outcomes and greater transparency. The company combines clinical oversight with an AI-powered platform to train, enable, and support family caregivers. Their platform assists health plans and government partners in understanding, verifying, and improving in-home care, thereby expanding access, reducing reliance on higher-cost settings, and ensuring effective public spending. Abby Care partners with leading health plans, providers, and community organizations and is backed by top VCs, aiming to make family-led care a core part of the healthcare system.

This role is for a Senior Applied AI Engineer who will design and build production AI systems to automate complex healthcare workflows. Reporting to the Applied AI Leader, this individual will own major initiatives from problem definition to production deployment and impact measurement. Responsibilities may include building agents for clinical documentation, interpreting evidence, preparing prior authorization packets, assisting nurses, identifying billing risks, or coordinating operational follow-up. The engineer will determine workflow decomposition, AI system context and tools, evaluation methods, deterministic controls, and human intervention points. Collaboration with product engineers, product managers, designers, clinicians, operators, and analysts is crucial to ensure systems reflect real-world workflows and achieve meaningful outcomes. The ideal candidate is high-agency, pragmatic, comfortable with ambiguity, skilled in transitioning between experimentation and production engineering, and capable of owning technically complex systems end-to-end. This is a full-time hybrid opportunity in San Francisco, California, requiring four days per week in person.

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.
• Strong hands-on experience with language models, retrieval systems, structured generation, model APIs, or agent architectures.
• Strong software engineering fundamentals, including backend systems, APIs, data modeling, testing, and observability.
• Experience designing evaluations and analyzing the behavior of probabilistic systems.
• Demonstrated ability to take ownership of ambiguous, cross-functional problems and drive them through implementation and iteration.
• Strong judgment about where AI is appropriate and where deterministic approaches or human review are required.
• Ability to communicate complex technical concepts clearly to technical and nontechnical partners.
• 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.

Nice To Haves

• 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 and operations-intensive environment is preferred but not required.

Responsibilities

• Own high-impact AI systems end to end: Lead initiatives from workflow discovery and technical design through production deployment, iteration, and measurable business or care outcomes.
• Build reliable agents and copilots: Develop systems that reason over structured and unstructured data, use internal tools, and execute multi-step workflows across intake, care delivery, billing, and operations.
• Engineer for real-world complexity: Design systems that handle incomplete information, conflicting evidence, changing requirements, and operational edge cases by combining models, retrieval, rules, state machines, and human oversight.
• Build rigorous evaluation and monitoring: Create representative datasets, evaluation harnesses, production tracing, confidence-based escalation, and systematic error-analysis processes.
• Integrate AI into complete workflows: Partner with Product, Design, Clinical, Operations, Analytics, Platform, and System of Record engineers to ensure AI capabilities solve real problems rather than remain isolated prototypes.
• Raise the technical bar: Contribute reusable platform capabilities, shape architectural decisions, mentor engineers, and improve how the team builds and operates Applied AI systems.

Benefits

• Competitive compensation packages that reflect the value you bring.
• Comprehensive health coverage that works for you. Choose from high-quality medical dental and vision options, including a $0 deductible PPO and a company-funded HSA, alongside employer-paid life and disability insurance.
• Generous paid time off.
• 10 paid company holidays.
• Financial savings benefits to support your future.
• HSA contributions.
• Optional FSA and commuter benefits.
• Full coverage of all 401(k) account fees.
• Paid parental leave to support your growing family.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed