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8 часов назад

Applied AI Technical Lead (Healthcare)

230 000 - 290 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Релокация
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Applied AI Technical Lead (Healthcare): Building production AI systems that automate complex home-based healthcare workflows with an accent on agentic architectures, retrieval, tool use, and human-in-the-loop controls. Focus on defining rigorous evaluation and monitoring, leading system delivery, and designing reliable AI autonomy for regulated operational processes.

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

Salary: $230,000–$290,000 per year, plus equity.

Company

Builds an AI-native operating system and platform for family-led, home-based care, combining clinical oversight with technology for intake, care delivery, billing, and compliance.

What you will do

  • Own the technical strategy and roadmap for a major Applied AI domain.
  • Translate ambiguous healthcare and operational problems into production-ready AI systems.
  • Architect and build agentic systems that reason over complex information, use internal tools, and execute workflows end to end.
  • Lead engineers through system design, implementation, evaluation, launches, and iteration while mentoring senior and junior engineers.
  • Establish human-in-the-loop controls based on confidence, risk, reversibility, and regulatory requirements.
  • Build reusable capabilities for retrieval, orchestration, tool use, structured outputs, tracing, feedback, evaluation, and production monitoring.

Requirements

  • 8+ years of experience in software engineering, machine learning, or Applied AI.
  • Experience technically leading AI-powered products or platforms from delivery through production.
  • Hands-on experience with language models, agent architectures, retrieval, tool use, structured outputs, and evaluation.
  • Strong software engineering and system-design fundamentals, including backend systems, APIs, distributed systems, and data modeling.
  • Experience working with complex, incomplete, or unstructured real-world data and defining monitoring for probabilistic systems.
  • Strong product judgment, communication, cross-functional collaboration, technical leadership, and mentoring skills.

Nice to have

  • Experience with fine-tuning, post-training, reinforcement learning, synthetic data, knowledge graphs, workflow engines, or state machines.
  • Experience in healthcare, fintech, insurance, or another regulated and operations-intensive industry.

Culture & Benefits

  • Medical, dental, and vision coverage, including a $0 deductible PPO and company-funded HSA.
  • Employer-paid life and disability insurance, HSA contributions, optional FSA, commuter benefits, and paid 401(k) account fees.
  • Paid time off, 10 paid company holidays, and paid parental leave.
  • Mission-driven culture focused on families, urgency with precision, resourcefulness, positivity, and redefining healthcare.

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