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2 месяца назад

AI Intelligence Efficiency Engineer (AI)

Тип работы
fulltime
Грейд
trainee
Английский
b2
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 Intelligence Efficiency Engineer (AI): Developing AI-powered tools and LLM-based applications to enhance developer productivity and engineering workflows with an accent on coding assistants and RAG pipelines. Focus on prompt optimization, building automation scripts, and integrating emerging AI technologies into the internal platform.

Location: Asia

Company

hirify.global is a leading global cryptocurrency exchange and ecosystem.

What you will do

  • Build AI tools including coding assistants, automation scripts, and knowledge Q&A systems.
  • Develop LLM-based applications focusing on prompt optimization and lightweight RAG pipelines.
  • Contribute to initiatives enhancing engineering efficiency and developer experience.
  • Test, iterate, and document internal AI tools and platforms.
  • Research and experiment with emerging AI technologies and use cases.

Requirements

  • Currently pursuing a Bachelor’s or Master’s degree in Computer Science or a related field.
  • Proficiency in at least one programming language, preferably Python.
  • Strong fundamentals in programming and problem-solving.
  • Passion for AI and experience using tools like ChatGPT or Copilot.
  • Familiarity with software development workflows, including Git and debugging.
  • Good communication skills and a strong willingness to learn.

Nice to have

  • Experience with AI projects such as chatbots, NLP, or automation tools.
  • Exposure to Prompt Engineering or AI-assisted development workflows.
  • Academic knowledge or coursework in machine learning or NLP.
  • A portfolio of personal projects, technical blogs, or GitHub contributions.

Culture & Benefits

  • Opportunity to work on real-world projects within a growing internal AI platform.
  • Hands-on experience building production-ready AI tools.
  • Fast-paced environment for curious individuals who learn quickly.
  • Focus on innovation and applying AI to improve software engineering processes.

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