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AI Engineer (Healthcare)

195 000 - 255 000$
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
AI Engineer (Healthcare) (AI/ML): Building AI infrastructure and machine learning features for a healthcare revenue cycle automation platform with an accent on medical billing, claims processing, and scalable model operations. Focus on translating prototypes into production systems, choosing between deterministic ML and non-deterministic LLM approaches, and designing secure training, testing, and monitoring workflows.

Location: Hybrid in San Francisco, Menlo Park, or New York City, United States

Estimated annual base salary: $195,000–$255,000 USD

Company

Healthcare technology company building a revenue cycle automation platform to simplify billing, improve claims processing, and reduce administrative waste for medical providers.

What you will do

  • Build AI features and ML use cases across the revenue cycle management platform.
  • Identify opportunities where AI and ML techniques can improve business outcomes, efficiency, and cost savings.
  • Scale prototypes into production-ready solutions used across the customer base.
  • Automate technically complex workflows, including claim submission, claim resubmission, and workflow optimization.
  • Architect AI infrastructure and structure data to support development across the product.
  • Establish scalable processes for model training, testing, monitoring, and security.

Requirements

  • Bachelor’s or master’s degree in computer science, computer engineering, mathematics, or a related field.
  • 8+ years of experience building software at significant scale and complexity.
  • 5+ years of professional AI engineering experience, preferably applying AI to real-world solutions.
  • Experience building systems that leverage machine learning technologies, including NLP models.
  • Ability to evaluate AI approaches and choose between deterministic ML and non-deterministic LLM solutions.
  • Strong architecture, communication, customer-first, and mentoring skills.

Nice to have

  • Experience with Google Cloud Platform, BigQuery, PostgreSQL, Metabase, Terraform, or Python.

Culture & Benefits

  • Opportunity to work on AI solutions addressing complex healthcare billing and revenue cycle problems.
  • Broad ownership of technical AI and product outcomes.
  • Minimal hierarchy with a wide range of experience represented across roles.
  • Total compensation may include equity and employee benefits.

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