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2 дня назад

Senior AI Engineer (Healthcare)

200 000 - 300 000$
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

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TL;DR

Senior AI Engineer (Healthcare): Building core AI systems for an AI doctor handling millions of consultations with an accent on multi-agent consensus architectures, RAG pipelines, and real-time inference. Focus on clinical data infrastructure, safety mechanisms, and scaling to billions of patient interactions.

Location: New York City, On-site (Hybrid)

Compensation: $200K – $300K + Equity

Company

hirify.global is the #1 AI Doctor revolutionizing direct-to-patient healthcare, legally authorized to practice medicine, processing millions of HIPAA-compliant consultations monthly across all 50 US states.

What you will do

  • Develop multi-agent consensus architectures and RAG pipelines for clinical guidelines and LLM consumption
  • Build fine-tuning, model distillation, and real-time inference systems handling millions of consultations
  • Create NLP pipelines for extracting structured data from patient conversations and QHIN/EHR integrations
  • Design intelligent triage, documentation generation, and custom workflows for medical reasoning
  • Implement safety features like emergency detection, validation layers, and fail-safes for regulated environments
  • Work on voice/video AI interfaces, multilingual NLP, predictive modeling, and scalable infrastructure

Requirements

  • 7+ years engineering with LLM and generative AI expertise
  • Deep knowledge of OpenAI GPT, Anthropic Claude, Meta LLaMA, and foundation models
  • Production AI systems with real-time inference; Python, TensorFlow/PyTorch, modern AI frameworks
  • Prompt engineering, fine-tuning, model optimization for specialized domains
  • CS degree or equivalent; preference for top programs, startup experience, independent problem-solving

Nice to have

  • AI systems for healthcare, medical terminology, HL7/FHIR standards
  • Medical AI safety, bias detection, NLP for domain-specific applications
  • Work in regulated healthcare; published AI/ML research
  • Seed/Series A experience in AI/healthcare; advanced CS/AI degree

Culture & Benefits

  • Engineering-first org with flat structure, direct CEO reporting, and high autonomy
  • Own features end-to-end; AI coding tools encouraged; ship fast with daily standups
  • Competitive salary plus significant equity in well-funded startup (USV seed, Lightspeed Series A)
  • Access to leading AI tech and medical experts; benefits reimbursement

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