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1 день назад

Senior AI/ML Engineer (LLM)

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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TL;DR
Senior AI/ML Engineer (LLM): Designing, developing, and deploying scalable machine learning systems for healthcare and real-world evidence generation with an accent on production LLM applications, clinical data, and enterprise reliability. Focus on translating state-of-the-art research into production, building RAG and monitoring capabilities, and ensuring model quality through drift detection and observability.

Location: United States; hybrid work in Research Triangle Park, North Carolina, with three days per week in the office

Company

hirify.global builds longitudinal, multimodal real-world evidence solutions for pharmaceutical, biotech, provider, and payer organizations.

What you will do

  • Design, develop, and deploy scalable machine learning systems for healthcare analytics and real-world evidence generation.
  • Translate state-of-the-art LLM research into production-ready solutions for researchers, statisticians, clinical teams, and customers.
  • Work with large-scale structured and unstructured clinical data in a cloud-based environment.
  • Develop model-quality features such as drift detection, performance monitoring, observability, logging, and error handling.
  • Collaborate with software engineers, data scientists, research scientists, and product managers to build reliable ML-native enterprise platforms.
  • Contribute to ML engineering standards through code reviews, documentation, technical mentorship, and cross-functional communication.

Requirements

  • 5+ years of experience in backend and cloud platform software development.
  • Fluency in Python.
  • Strong familiarity with modern machine learning and LLM techniques, frameworks, and tooling.
  • Experience developing and maintaining high-performing, scalable, data-centric enterprise software products.
  • Strong problem-solving, technical design, documentation, and communication skills.
  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.

Nice to have

  • Experience developing end-to-end ML systems from design and training through inference, deployment, and monitoring.
  • Production experience with LLM fine-tuning, prompt engineering, or retrieval-augmented generation.
  • Experience with RAG infrastructure, including data vectorization, vector stores, and search methodologies.
  • Background in healthcare, clinical informatics, or life sciences, including EHR, claims, or registry data.

Culture & Benefits

  • Hybrid work with three days per week in a new office.
  • Health, dental, and vision insurance for employees and their families.
  • 401(k) with company match.
  • Generous paid time off and company holidays.
  • Paid parental leave.

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