Senior Applied AI Engineer (Healthcare)

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

Salary: $220K–$270K annually, plus equity.

Company

hirify.global is an AI-native healthcare company building an operating system for home care that supports family caregivers and manages workflows across intake, 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 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.
• Integrate AI capabilities into end-to-end product and operational workflows with Product, Design, Clinical, Operations, Analytics, Platform, and engineering partners.
• Shape architecture, build reusable platform capabilities, 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, including backend systems, APIs, data modeling, testing, and observability.
• Experience evaluating probabilistic systems, analyzing their behavior, and deciding when deterministic approaches or human review are required.
• 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, multimodal models, document intelligence, knowledge graphs, ontologies, workflow engines, or state machines.
• Experience in healthcare, fintech, insurance, or another regulated and operations-intensive environment.

Culture & Benefits

• Hybrid work with regular in-person collaboration in San Francisco.
• Medical, dental, and vision coverage, including a $0 deductible PPO and company-funded HSA.
• Employer-paid life and disability insurance, HSA contributions, optional FSA, and commuter benefits.
• Paid time off, 10 paid company holidays, and paid parental leave.
• Mission-driven culture focused on family-centered care, urgency with precision, resourcefulness, and practical innovation.