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2 дня назад

Lead AI Software Engineer (Healthcare)

150 000 - 200 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
lead
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

Lead AI Software Engineer (Healthcare): Designing and delivering AI/ML solutions for the behavioral healthcare industry with an accent on LLM-powered applications, RAG, and predictive modeling. Focus on end-to-end implementation, including data pipelines, fine-tuning, MLOps, and ensuring HIPAA-compliant handling of PHI within an Azure-first enterprise environment.

Location: Must be based in the United States

Salary: $150,000 - $200,000

Company

hirify.global provides innovative web-based software for behavioral health organizations to coordinate service delivery and improve patient outcomes.

What you will do

  • Co-design AI solutions with the AI Architect and own product-level implementation.
  • Develop RAG systems over EHR and clinical data using vector search and embeddings.
  • Build and operate MLOps pipelines, including CI/CD, experiment tracking, and model monitoring.
  • Ensure HIPAA compliance and Responsible AI practices across all AI services.
  • Manage reliability, security, and cost-optimization for AI products.
  • Mentor engineers and data scientists while conducting rigorous code and evaluation reviews.

Requirements

  • Must be based in the United States
  • 10+ years in software engineering, with 5+ years in ML/AI and 2+ years in a lead role
  • Healthcare domain experience in clinical or revenue cycle management
  • Proficiency in Python, PyTorch/TensorFlow, and LLM orchestration frameworks like LangChain
  • Strong SQL Server (SSMS) and T-SQL fundamentals
  • Experience with Azure AI Foundry, OpenAI/Anthropic models, and MLOps tools
  • No visa sponsorship available

Nice to have

  • Experience with FHIR, HL7, or DICOM standards
  • Knowledge of Databricks, Spark, or Airflow
  • Background in .NET microservices and API design
  • GPU/CUDA optimization and inference techniques

Culture & Benefits

  • Competitive compensation and benefits packages
  • Flexible, collaborative work environment
  • Opportunities for professional growth and continuous learning
  • Focus on cutting-edge behavioral healthcare technology

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