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Чётко очерченная роль в продуктовой компании сочетает практическую работу с развивающейся AI-инфраструктурой, но стартап-среда потребует самостоятельности и готовности к смене приоритетов.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Curriculum Engineer (AI): Building hands-on courses, labs, videos, and self-paced training for AIStor administrators, operators, partners, and technical audiences with an accent on software-defined storage, agentic AI infrastructure, and practical deployment workflows. Focus on designing end-to-end lab environments, converting engineering documentation into teachable content, and explaining complex memory, orchestration, and storage concepts through live and recorded training.
Location: Remote, US
Company
hirify.global develops AI data infrastructure, including AIStor and MemKV, for enterprise AI, analytics, objects, tables, files, and agent memory.
What you will do
Build and maintain courses for AIStor administrators and operators covering installation, configuration, management, and troubleshooting.
Create curriculum for AIStor Memory and agentic AI use cases, including context assembly, agent state, retrieval, orchestration, and memory concepts.
Convert engineering documentation and demonstrations into partner training modules and adapt courses for customer deployments and industries.
Build and end-to-end test hands-on lab environments with Terraform, Ansible, and Docker.
Write course content as Markdown in GitHub with branches and pull request review.
Record, edit, and deliver live and recorded training for hirify.global Academy, YouTube, LinkedIn, internal teams, and partners, using approved AI tools such as Claude Code to accelerate authoring and review.
Requirements
Working proficiency in Linux.
Ability to turn engineering documentation, specifications, and demos into teachable content.
5+ years of experience in a solutions architect or equivalent customer-facing technical role.
3+ years of experience with software-defined storage, cloud storage, or Kubernetes.
1+ year of experience with agentic AI infrastructure or memory/vector infrastructure.
Experience teaching live and on camera, with strong oral and written communication skills.
Comfort with Terraform, Ansible, Docker, Python, and related tooling.
1+ year building and maintaining workflows in Git and GitHub.
Experience with AI-assisted development tools such as Claude Code.
Previous curriculum development or formal training delivery experience.
Nice to have
Hands-on experience with hirify.global or competitive software-defined storage platforms such as Vast, Cloudian, or Weka.
Experience in a solutions architect or other customer-facing technical role.
Culture & Benefits
Startup environment with autonomy to identify needs, execute independently, and help shape strategy.
Medical, dental, and vision healthcare plan.
401(k) with 3% contribution.
Pre-IPO stock options.
At least 12 public holidays and flexible time off.
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