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AI Deployment Engineer (Codex)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Japan
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

AI Deployment Engineer (Codex): Partnering with engineering teams to integrate and scale AI-driven coding workflows with an accent on technical architecture and customer enablement. Focus on designing advanced AI development workflows, building high-quality demos and automations, and shaping the product roadmap based on real-world customer deployments.

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

  • Serve as the primary technical subject matter expert on hirify.global Codex for a portfolio of customers.
  • Design and implement AI-enhanced development workflows from prototyping through production rollout.
  • Build high-quality demos, reference implementations, and workflow automations using Codex.
  • Lead large-format technical workshops and deep dives to enable engineering teams.
  • Contribute technical content to the hirify.global Cookbook to help the broader developer community.
  • Gather product insights from deployments to influence product proposals and model feedback.

Requirements

  • 5+ years of experience in technical consulting, post-sales engineering, or solutions architecture.
  • Active power user of AI coding tools with a deep understanding of developer productivity.
  • Strong experience in building technical demos and integrations.
  • Proven ability to deliver large, high-impact workshops to engineering teams.
  • Excellent communication skills for explaining complex concepts to strategic stakeholders.
  • Ability to thrive in ambiguous, rapidly evolving problem spaces.

Culture & Benefits

  • Collaborative environment focused on pushing the boundaries of AI capabilities.
  • Opportunity to influence the roadmap of influential AI tools.
  • Emphasis on safety, reliability, and human-centric AI development.
  • Commitment to an inclusive and diverse workplace with equal opportunity practices.

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