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5 часов назад

AI Platform Engineer (AI)

Формат работы
remote (Global)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Spain/CR +1 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

AI Platform Engineer (AI): Designing and deploying advanced AI capabilities within the OneAI platform for high-performance inference and training across cloud and edge environments with an accent on integrating AI frameworks and GPU-aware operations. Focus on bridging systems engineering and product design to build scalable APIs and observability tools for the entire AI model lifecycle.

Location: Fully Remote (International). However, candidates must be able to attend face-to-face meetings and onboarding events in Madrid and other European cities at least twice a year.

Company

hirify.global is an established open-source leader providing cloud and edge computing platforms for corporate data centers worldwide.

What you will do

  • Design, implement, and deploy advanced AI capabilities within the OneAI platform for inference and training workloads.
  • Integrate cutting-edge AI frameworks and engines such as vLLM, PyTorch, and Unsloth into a secure and scalable environment.
  • Develop and maintain reliable APIs for compute provisioning and workload scheduling leveraging OpenNebula.
  • Design intuitive workflows for model management and integrate public repositories like Hugging Face for seamless discovery and deployment.
  • Implement GPU-aware operations and build comprehensive observability suites to monitor latency, throughput, and utilization.
  • Research and integrate emerging AI tools to ensure the platform remains at the industry forefront.

Requirements

  • 3+ years of experience in applied AI, machine learning, or software engineering with production-ready AI/ML solutions.
  • Proven track record of deploying Large Language Models (LLMs) at scale, specifically with serving engines like vLLM and fine-tuning tools like Unsloth.
  • Proficiency in the Hugging Face ecosystem (Transformers, Hub, Datasets) for model and data management.
  • Experience with GPU orchestration and containerized environments such as Kubernetes or OpenNebula.
  • English: Advanced level (B2 or higher) required.
  • Availability to attend bi-annual all-hands meetings and onboarding in Madrid and other European cities.

Culture & Benefits

  • Competitive compensation with flexible remuneration (meals, transport, childcare).
  • Customized workstation (macOS, Windows, or Linux).
  • Private health insurance and paid time off (holidays, sick leave, parental leave).
  • Enhanced work-life balance with afternoon-off Fridays and summer schedules.
  • Engineering-first culture promoting openness, risk-taking, and continuous growth.
  • Flexible hiring options: Employment (Spain/USA) or B2B Contract (other locations).

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