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5 дней назад

Principal ML Platform Engineer (AI)

175 000 - 325 000$
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

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TL;DR
Principal ML Platform Engineer (AI) (AI-powered enterprise process automation): Architecting and optimizing high-performance distributed software systems for mission-critical enterprise orchestration with an accent on cloud-native architecture, AI-assisted development, reliability, and scalability. Focus on modernizing core platforms, designing multi-tier systems, tuning production services, and mentoring engineers while driving technical direction across teams.

Location: Remote (US)

Base salary: $175,000–$325,000 USD per year, with potential discretionary bonus and possible equity eligibility.

Company

hirify.global provides AI-powered process automation for mission-critical work in large enterprises and governments, with a focus on reliability and scale.

What you will do

  • Architect, build, optimize, and maintain high-performance software for enterprise-grade orchestration.
  • Lead platform modernization, strategic technology changes, refactoring, and code-quality improvements.
  • Design complex multi-tier solutions, break down technical stories, define acceptance criteria, and guide delivery.
  • Improve availability, latency, scalability, efficiency, and reliability in high-volume production environments.
  • Use AI coding assistants to generate, review, evaluate, and safely apply production code.
  • Coach engineers, lead code reviews, establish development practices, and share technical expertise through documentation.

Requirements

  • Bachelor of Science degree in computer science or a related technical or analytical discipline; an equivalent degree substitution is not accepted.
  • 10+ years of relevant software development experience with a bachelor’s degree, or 8+ years with a master’s degree in computer science or a related field.
  • Expert coding, scripting, and debugging skills in Java, Python, or Go.
  • Deep knowledge of distributed systems and cloud infrastructure, with experience contributing as a senior individual contributor.
  • Experience influencing technical decisions across teams, using AI coding assistants, and operating high-volume, mission-critical production services.
  • Strong communication skills for explaining technical architectures verbally, visually, and in writing.

Nice to have

  • Experience with microservices, Docker, Kubernetes, and modern CI/CD pipelines.
  • Experience with AWS, Azure, and/or GCP.
  • Experience with enterprise platforms such as Salesforce or ServiceNow.

Culture & Benefits

  • High-impact autonomy, ownership of technical direction, and participation in broader engineering discussions.
  • Structured onboarding, department-specific training, mentorship, and dedicated learning time.
  • Corporate sponsorship for professional technical certifications.
  • Flexible time off, paid parental leave, medical, dental, and vision coverage, life and disability insurance.
  • 401(k) with company match, flexible spending and health savings account contributions, wellness programs, tuition reimbursement, and employee stock purchase program.

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