Назад
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8 часов назад

Sr. AI Engineer

151 200 - 184 800$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior/lead
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
Sr. AI Engineer (Agentic AI/Generative AI): Leading the technical direction and delivery of AI engineering teams building an agentic AI framework, complex AI agent components, and Generative AI integrations with an accent on scalable architecture, production reliability, and engineering quality. Focus on designing RAG-based agents, fine-tuning models, integrating cloud and MLOps infrastructure, and mentoring engineers through complex technical decisions.

Location: Boston and Hingham, Massachusetts; candidates must be local to the Boston office for the Flex Persona.

Salary: $151,200–$184,800 per year, plus variable pay.

Company

hirify.global is a healthcare insurance organization focused on transforming healthcare through AI initiatives.

What you will do

  • Provide technical leadership and mentorship to AI engineering teams.
  • Lead the design and implementation of complex AI agent components, Generative AI integrations, and supporting infrastructure.
  • Collaborate with Product Owners to refine requirements, estimate work, and deliver AI features on time and to a high quality standard.
  • Establish code review practices that ensure quality, security, and maintainability.
  • Resolve complex technical issues and act as the team’s primary technical escalation point.
  • Evaluate new tools, libraries, and frameworks while developing engineering talent.

Requirements

  • Bachelor’s degree in Computer Science, Technology, or a related field; a high school degree or equivalent is the minimum requirement unless otherwise noted.
  • 3–5+ years of hands-on experience with machine learning and deep learning frameworks, including TensorFlow, PyTorch, and scikit-learn.
  • 1+ year of experience developing agentic solutions, with knowledge of cloud services and MLOps tools such as Docker and Kubernetes.
  • Experience designing AI agents using Retrieval Augmented Generation architectures and fine-tuning techniques.
  • Experience managing the performance, scalability, and reliability of AI models in production.
  • Strong communication, code review, knowledge-sharing, and technology decision-making skills.

Nice to have

  • Linux/Unix scripting experience.
  • Experience with multiple cloud platforms, including AWS, GCP, and Azure.
  • Solution Architect Associate certification, preferably in GCP or AWS.

Culture & Benefits

  • Full-time employment with paid time off.
  • Medical, dental, and vision insurance.
  • 401(k) and additional well-being benefits for eligible employees.
  • Resources and development support for building an individual career path.
  • Emphasis on inclusion, wellness, and work-life balance.

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