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AI/ML Engineer (Healthcare AI)

180 000 - 240 000$
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

AI/ML Engineer (Healthcare AI): Building AI-driven behavioral healthcare platforms for clinical extraction and evaluation with an accent on LLM/NLU systems and document AI. Focus on developing reliable extraction pipelines from complex clinical notes, implementing robust evaluation harnesses, and ensuring HIPAA-compliant AI solutions.

Location: Hybrid, must be based in San Francisco (in-office 2-3 days/week)

Salary: $180K – $240K + Equity

Company

hirify.global is building the largest AI-driven behavioral healthcare platform to reduce waste and ensure high-quality care delivery.

What you will do

  • Develop LLM/NLU systems to process and extract meaningful information from clinical notes and medical documents.
  • Own and evolve the LLM evaluation harness, regression gates, and observability to ensure system reliability.
  • Extract structured data from visually complex clinical documents using OCR, multimodal models, and classical ML.
  • Collaborate with backend engineers to integrate AI/ML capabilities into the core platform.
  • Design explainable AI solutions to provide transparency for healthcare professionals.

Requirements

  • 4+ years of experience building and deploying production applications in backend or data engineering.
  • Proven experience developing LLM-based systems for ingesting unstructured records in industry-specific use cases.
  • Expertise in document AI, OCR, and extracting data from visual/scanned content (charts, tables).
  • Deep understanding of LLM limitations and best practices for ensuring consistent, accurate outputs.
  • Must be based in San Francisco for a hybrid work arrangement (2-3 days/week in office).

Nice to have

  • Experience working with medical records for clinical evaluations or claims authorization.
  • Significant experience with healthcare data and HIPAA best practices.
  • Knowledge of modern MLOps and ML infrastructure.
  • Experience as a generalist backend engineer with Python and data science libraries.

Culture & Benefits

  • Flexible hybrid arrangement in San Francisco's Financial District.
  • Unlimited vacation policy and paid parental leave.
  • Comprehensive medical, dental, and vision insurance.
  • 401(k) and significant equity as an early employee.
  • Company-provided equipment and home office setup.

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