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1 день назад

Applied AI Engineer

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
UK/US/Malta
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Applied AI Engineer (AI): Building and deploying real-world AI systems using modern tooling and frontier models with an accent on LLM-powered features, AI agents, and backend services supporting AI-driven applications. Focus on rapid prototyping, integrating multiple model providers, and shipping production-ready solutions quickly.

Location: Fully remote (London or remote), international team across London, Malta, Gibraltar, and Miami

Company

hirify.global is a digital entertainment company building AI-first platforms from the ground up, including MetaWin, WOW Vegas, BetZoo Media, Hit.com, and Rolla.

What you will do

  • Build AI-powered product features used by real users at scale
  • Develop LLM-powered systems, internal tooling, and automation workflows
  • Deploy AI agents solving operational and product problems
  • Integrate multiple model providers and AI infrastructure layers
  • Build backend services for AI-driven applications
  • Rapidly prototype and ship new ideas into production
  • Improve engineering velocity through AI-native workflows

Requirements

  • 1–2 years professional or serious personal project experience shipping real software
  • Strong software engineering foundation (CS degree, bootcamp, or self-taught)
  • Comfort working across backend systems and APIs
  • Experience using AI/LLMs as a force multiplier for complex problems
  • Agency, product sense, and high-quality output without compromise
  • Genuine curiosity about AI systems in production

Nice to have

  • Familiarity with Claude Code, Codex, OpenRouter, Cursor, Kimi, Qwen, or frontier/open-source LLMs
  • Experience with multi-model orchestration and applied AI systems

Culture & Benefits

  • Fast-moving, early-career role with direct access to senior engineers and product leadership
  • Freedom to experiment with new tooling and trust to ship decisions independently
  • International team culture across multiple locations
  • Genuine learning environment at the frontier of applied AI engineering
  • Competitive salary for level of experience

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