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4 дня назад

AI Engineer

140 310 - 171 490$
Формат работы
onsite
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

Текст:
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TL;DR
AI Engineer (Agentic AI/Generative AI): Guiding AI engineering teams building an agentic AI framework and complex AI agent components with an accent on technical leadership, RAG architectures, model fine-tuning, and cloud-based MLOps. Focus on designing scalable production AI systems, solving complex technical problems, maintaining code quality, and mentoring engineers.

Location: Boston, Massachusetts; Flex Persona eligibility is for candidates local to the Boston office

Salary: $140,310–$171,490 per year, plus eligibility for variable pay

Company

hirify.global is a healthcare organization developing AI solutions and an agentic AI framework.

What you will do

  • Provide technical leadership and mentorship to AI engineering teams.
  • Lead the design and implementation of AI agent components, Generative AI integrations, and supporting infrastructure.
  • Collaborate with Product Owners to refine requirements, estimate work, and deliver AI features.
  • Establish code review practices focused on quality, security, and maintainability.
  • Resolve complex technical issues and guide production decisions involving performance, scalability, and reliability.
  • Evaluate tools, libraries, and frameworks and support knowledge sharing across the team.

Requirements

  • Bachelor’s degree in Computer Science, Technology, or a related field; a high school diploma or equivalent is the minimum requirement unless otherwise noted.
  • 1–3+ years of hands-on experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, and scikit-learn.
  • 1+ year of experience developing agentic solutions, with knowledge of AWS, Azure, or Google Cloud 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 or Unix scripting experience.
  • Experience working across AWS, GCP, and Azure.
  • Solution Architect Associate certification, preferably in GCP or AWS.

Culture & Benefits

  • Paid time off and medical, dental, and vision insurance.
  • 401(k) and additional well-being benefits for eligible employees.
  • Support for professional development and individual career growth.
  • Focus on inclusion, wellness, and work-life balance.

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