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6 дней назад

AI Engineer / Member of Technical Staff (Healthcare)

120 000 - 190 000$
Формат работы
onsite
Тип работы
fulltime
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
AI Engineer / Member of Technical Staff (Python/LLM/RAG): Building and operating production AI systems for healthcare that process complex unstructured data, with an accent on generative AI applications, infrastructure, and customer implementation. Focus on deploying, monitoring, debugging, and continuously improving AI systems while translating customer workflows into technical solutions.

Location: San Francisco, California, United States; on-site five days per week

Salary: $120,000–$190,000 per year plus equity

Company

Production AI engineering work focused on healthcare applications and customer implementations.

What you will do

  • Build production AI applications with Python, LLMs, RAG, and agentic workflows.
  • Develop systems that process complex unstructured data and extract actionable insights.
  • Design and manage production infrastructure using Terraform or comparable Infrastructure-as-Code tools.
  • Deploy, monitor, debug, investigate, and continuously improve AI systems based on real-world performance.
  • Work directly with customers to understand workflows and translate problems into technical solutions.
  • Collaborate with engineering, product, and customer-facing teams to identify opportunities for AI-driven workflow improvements.

Requirements

  • Strong hands-on Python development experience.
  • Experience building and deploying production software.
  • Practical experience with LLMs, generative AI, RAG, agents, or related LLM application architectures.
  • Experience with Terraform or comparable Infrastructure-as-Code tools.
  • Strong debugging, problem-solving, Git, and GitHub experience.
  • Ability to work on-site in San Francisco five days per week.

Nice to have

  • Healthcare, EHR, FHIR, or HL7 experience.
  • Customer-facing engineering, forward-deployed engineering, or solutions engineering experience.
  • AI evaluation, monitoring, or observability experience.
  • Startup or founding-engineer experience.
  • Open-source contributions.

Culture & Benefits

  • Hands-on ownership of AI systems from initial requirements through deployment and ongoing improvement.
  • Work on complex, ambiguous problems with real-world healthcare impact.
  • Full-time employment with equity.
  • H-1B, O-1, and OPT visa sponsorship available.

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