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2 дня назад

Principal Applied AI Engineer (Healthcare)

230 000 - 280 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
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
Principal Applied AI Engineer (Healthcare): Defining technical strategy and architecture for agentic AI workflow infrastructure across a healthcare product portfolio with an accent on LLM evaluation, deployment, safety, monitoring, and AI governance. Focus on setting organization-wide standards, solving high-ambiguity platform problems, evaluating emerging models, and mentoring Staff-level engineers.

Location: Palo Alto, United States — hybrid

Salary: $230,000–$280,000 per year, plus equity and benefits.

Company

hirify.global builds generative AI infrastructure for healthcare, including AI governance guardrails, healthcare-specific agent creation, and real-time algorithm monitoring.

What you will do

  • Define multi-year technical strategy and architecture for agentic workflow infrastructure supporting more than 100 product workflows.
  • Represent applied AI engineering in product direction, build-versus-buy, and platform investment decisions.
  • Set engineering standards for LLM evaluation, deployment, safety, monitoring, and AI governance.
  • Serve as a technical escalation point for complex, high-ambiguity problems across product lines.
  • Evaluate emerging models, frameworks, and techniques, including OpenAI, Anthropic, and Mistral offerings.
  • Mentor Staff-level engineers and shape the technical career ladder for applied AI roles.

Requirements

  • Deep software engineering foundation with Python required.
  • 8+ years of production software experience, including 4+ years building and scaling AI-powered or LLM-driven applications in production.
  • Experience setting technical direction and standards adopted across multiple teams.
  • Deep expertise in MLOps, model deployment, and workflow automation at an organizational or platform level.
  • Ability to operate autonomously on ambiguous, high-stakes technical and strategic problems and influence leadership-level decisions.
  • Bachelor’s degree with 10 years of experience, or a master’s degree with 8 years of experience, in Computer Science, Engineering, or a related field, or equivalent experience.

Nice to have

  • Recognized expertise in applied AI or agentic systems through talks, publications, open source, or platform-level roles.
  • Experience building AI infrastructure in a regulated or high-stakes domain such as healthcare or finance.
  • Experience founding or scaling a technical function in a startup environment.
  • Experience mentoring Staff-level engineers and shaping technical career ladders.

Culture & Benefits

  • Mission-driven environment focused on transforming healthcare with AI.
  • Hybrid work options and flexible working hours.
  • Competitive salary with equity packages.
  • Medical, dental, and vision insurance.
  • Inclusive environment focused on creativity and innovation.

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