Senior Applied AI Engineer (Healthcare)

Location: Hybrid in San Francisco, California, with four days per week in person. Must reside in or be willing to permanently relocate to the San Francisco Bay Area.

Salary: $190,000–$250,000 per year plus equity.

Company

hirify.global is building an AI-native platform and operating system for family-led home care, combining clinical oversight with technology for caregiver support, care delivery, billing, and compliance.

What you will do

• Own Applied AI initiatives from workflow discovery and technical design through production deployment, iteration, and measurable outcomes.
• Build reliable AI agents and copilots that reason over structured and unstructured data, use internal tools, and execute multi-step healthcare workflows.
• Design systems combining models, retrieval, rules, state machines, and human oversight to handle incomplete information, conflicting evidence, and operational edge cases.
• Create representative datasets, evaluation harnesses, production tracing, confidence-based escalation, and systematic error-analysis processes.
• Integrate AI capabilities into end-to-end product and operational workflows in partnership with Product, Design, Clinical, Operations, Analytics, Platform, and engineering teams.
• Develop reusable platform capabilities, guide architecture, mentor engineers, and improve Applied AI engineering 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 evaluating probabilistic systems, analyzing their behavior, and making sound decisions about deterministic controls and human review.
• Must reside in or be willing to permanently relocate to the San Francisco Bay Area.

Nice to have

• Experience with model fine-tuning, post-training, reinforcement learning, synthetic data generation, multimodal models, document intelligence, knowledge graphs, ontologies, workflow engines, or state machines.
• Experience in healthcare, fintech, insurance, or another regulated and operations-intensive environment.
• Experience mentoring engineers, leading technically complex projects, or influencing architectural decisions.

Culture & Benefits

• Medical, dental, and vision coverage, including a $0 deductible PPO and company-funded HSA.
• Employer-paid life and disability insurance, optional FSA and commuter benefits, and paid company holidays.
• Paid time off and paid parental leave.
• Startup environment emphasizing resourcefulness, urgency, precision, and practical problem-solving.
• Mission-driven culture focused on improving healthcare for families.