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AI Engineer

Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
Hungary
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 Engineer: Building scalable web applications using Java (Spring Boot) and Angular, while actively leveraging and integrating AI tools to accelerate delivery and enhance product intelligence with an accent on code efficiency and quality. Focus on adopting new AI dev-tools that improve the team’s workflow.

Location: Pécs, HU Budapest, HU

Company

hirify.global is an international technology group with around 10,000 employees at more than 100 locations worldwide, united by a common goal: transforming entrepreneurial thinking into customer success and shaping technological change.

What you will do

  • Develop and maintain scalable web applications using Java (Spring Boot) and Angular.
  • Use AI coding assistants to write, refactor, and document code efficiently.
  • Design and integrate RESTful APIs and handle database interactions (SQL/NoSQL).
  • Use Git for version control, ensuring clean commits and meaningful branch names.
  • Create modular, reusable components in Angular.
  • Containerize applications using Docker to ensure environment consistency.

Requirements

  • Strong foundation in Java 17/21+ and experience with Spring Boot.
  • Proficiency in TypeScript and modern Angular (v17+ preferred).
  • Experience using AI tools for boilerplate generation, unit test creation, and complex debugging.
  • Ability to craft precise instructions for LLMs to get high-quality, secure code outputs.
  • Technical depth to audit AI code for security vulnerabilities and performance bottlenecks.
  • Knowledge of Git and Docker.

Nice to have

  • Experience integrating OpenAI/Anthropic/Gemini APIs into web applications.
  • Familiarity with vector databases or LangChain.
  • Familiarity with Cloud platforms (AWS, Azure, or GCP).
  • Experience with JUnit, or Jasmine/Karma or equivalent.
  • Familiar with Liferay CMS System.

Culture & Benefits

  • Pragmatic: Know when to write code from scratch and when to let an AI assistant do the heavy lifting.
  • Curious: Experimenting with the latest LLM models and plugins.
  • Quality-Focused: Understand that as AI generates more code, the human’s role as a Code Reviewer becomes even more vital.

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