Назад
Company hidden
8 часов назад

Senior AI Platform Engineer (AI)

142 900 - 207 200$
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
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Senior AI Platform Engineer (AI/AWS): Building and maturing the infrastructure that powers machine learning and generative AI capabilities with an accent on end-to-end training pipelines and production agentic applications. Focus on operationalizing LLMs, architecting RAG systems, and ensuring the scalability and reliability of ML systems on AWS.

Location: Remote (Must be authorized to work in the United States)

Salary: $142,900 - $207,200 USD

Company

A cybersecurity company building AI-powered infrastructure to empower defenders.

What you will do

  • Architect and maintain end-to-end ML training pipelines on AWS using SageMaker, EKS, and Step Functions.
  • Build and maintain infrastructure for production agentic applications utilizing Amazon Bedrock and Bedrock AgentCore.
  • Implement AI/ML governance best practices for model versioning, testing, validation, and security.
  • Integrate MLOps best practices into the SDLC, collaborating with SRE, Platform Engineering, and Security teams.
  • Mentor junior engineers and contribute to the architectural evolution of the ML platform.
  • Evaluate MLOps tooling and participate in buy vs. build decisions.

Requirements

  • 5+ years of software engineering experience with a meaningful focus on ML operations and infrastructure.
  • Must be authorized to work in the United States.
  • Strong Python proficiency; familiarity with Go or JavaScript is a plus.
  • Hands-on experience with AWS ML platforms (SageMaker, Bedrock, Bedrock AgentCore).
  • Proven experience operationalizing LLMs and building agentic architectures, including RAG and tool calling.
  • Familiarity with ML frameworks such as PyTorch, TensorFlow, Scikit-Learn, or Spark.

Culture & Benefits

  • Full remote flexibility to work from wherever you are most productive.
  • Unlimited PTO and up to 24 weeks of parental leave.
  • Comprehensive health benefits.
  • Monthly stipends for fitness and cell phone (no receipts required).
  • Professional growth support via conference benefits and continuous learning opportunities.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →