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2 месяца назад

Sr Staff AI Engineer (Healthcare)

Формат работы
onsite
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

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TL;DR

Sr Staff AI Engineer (Healthcare): Defining the technical strategy and architecting foundational platforms for voice-based generative AI in healthcare with an accent on RAG, agent orchestration, and safety. Focus on building clinically safe healthcare agents, scaling foundational AI systems, and setting organization-wide evaluation standards.

Location: Onsite in Palo Alto, CA (must be in office five days a week)

Company

Leading generative AI company in healthcare developing safety-focused LLMs for autonomous clinical conversations with patients.

What you will do

  • Define the multi-year technical strategy and architectural roadmap for RAG, multi-agent systems, real-time voice, and safety.
  • Architect foundational platforms used across multiple products, teams, and partners to make long-term technical decisions.
  • Partner with executive, product, and clinical leadership to translate healthcare goals into technical bets.
  • Own the company-wide safety and evaluation bar, setting measurement systems for every agent and model change.
  • Mentor Staff and Senior engineers and shape the organization's hiring and leveling processes.
  • Represent the company externally through publications, conference talks, and partner engagements.

Requirements

  • 10+ years of professional experience in software, ML, or AI engineering.
  • Proven track record of building and shipping AI- or ML-powered products in production environments.
  • Strong programming skills in Python with experience in distributed systems, APIs, and data pipelines.
  • Deep understanding of prompt engineering, vector databases, and retrieval systems (RAG).
  • Experience with cloud environments (AWS/GCP/Azure) and modern DevOps practices like Terraform and CI/CD.
  • Must be based in Palo Alto to work in the office five days a week.

Nice to have

  • Experience building or deploying LLM-based or multi-agent systems at scale.
  • Hands-on work with speech recognition, text-to-speech, or streaming architectures for real-time AI.
  • Prior exposure to healthcare, safety-critical domains, or regulated product development.

Culture & Benefits

  • Opportunity to create a new category of healthcare-only, safety-focused AI.
  • Collaboration with a world-class team of physicians, AI pioneers, and researchers.
  • Strong financial backing with over $400M in total funding from leading investors.
  • High-impact individual contributor role with direct influence on executive strategy.

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