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12 часов назад

Senior Software Engineer II - Ingestion AI Engineer (AI)

Формат работы
remote (только USA)
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

Senior Software Engineer II - Ingestion AI Engineer (AI): Designing and implementing AI-driven systems to handle high variability in healthcare data ingestion with an accent on scalable data pipelines and LLM integration. Focus on automating the processing of disparate data formats, optimizing ETL processes, and implementing RAG and vector database solutions.

Location: Remote (United States)

Company

hirify.global is a healthcare technology company focused on improving patient care by optimizing data ingestion and provider capabilities.

What you will do

  • Design and develop scalable AI systems to solve the variability problem in healthcare data received from external sources.
  • Implement secure, maintainable, and performant solutions to automate the standing up of new data feeds.
  • Partner with Engineering Managers and Product Managers to develop and execute technical roadmaps using Agile processes.
  • Mentor and coach junior engineers through thorough pull request reviews and technical guidance.

Requirements

  • BS/BTech in Computer Science, Engineering, or a related field.
  • 6+ years of experience in backend or data engineering development within cross-functional teams.
  • 3+ years of experience working with SQL on large multi-table data sets.
  • 3+ years of experience as a technical decision-maker and coaching other engineers.
  • Must be based in the United States.

Nice to have

  • Experience with health-tech systems such as Electronic Health Records (EHR) and clinical data.
  • Proficiency in designing, building, and optimizing data pipelines and ETL processes.
  • Expertise in statistical data techniques, including NLP, causal inference, and syntactic analysis.
  • 1+ years of experience with AI SDKs, prompt engineering, tool calling, vector databases, or RAG.
  • Experience with Docker, Kubernetes, and CI/CD pipelines.
  • Experience with cloud computing platforms like AWS, Azure, or Google Cloud.

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