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4 дня назад

Software Engineer for AI & Continuous Improvement (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
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
Software Engineer for AI & Continuous Improvement (AI): Building production-grade applications and automation solutions that improve development, testing, support, delivery, and engineering workflows with an accent on AI-assisted development, automated testing, and production diagnostics. Focus on analyzing complex systems, identifying root causes of incidents, evaluating emerging technologies, and delivering practical solutions using programming, databases, Linux, and command-line tools.

Location: Budapest, Hungary; hybrid workplace.

Company

hirify.global's Software Development department is hiring for work focused on AI and continuous improvement.

What you will do

  • Identify opportunities to improve development, testing, support, and delivery processes.
  • Design and implement automation solutions that reduce manual effort, improve quality, and increase delivery confidence.
  • Use AI-assisted development and automation tools for requirements refinement, testing, documentation, diagnostics, and engineering workflows.
  • Evaluate emerging technologies and build practical solutions that can be adopted by the team.
  • Analyze production incidents, identify root causes, and turn recurring issues into improvement opportunities.
  • Promote engineering practices that support consistent, efficient delivery with stronger controls.

Requirements

  • Experience designing, building, and delivering production-grade applications or automation solutions.
  • Strong analytical and problem-solving skills, including investigating complex systems and data flows.
  • Experience building automated testing frameworks or improving test coverage for existing systems.
  • Practical experience with at least one major programming or scripting language, such as Python, Java, or a functional programming language.
  • Basic experience with databases, SQL, data analysis, or reporting tools.
  • Comfort working in a Linux environment and using command-line tools.
  • Familiarity with Jira, Git, code review processes, or team documentation tools.
  • Willingness to learn Q/KDB+ and apply it to the team's use cases.

Nice to have

  • Exposure to AI-assisted development, workflow automation, data analysis automation, or prompt-based productivity tools.
  • Exposure to application architecture and system integration patterns.
  • Exposure to APIs, interfaces, and distributed systems.
  • Exposure to databases and data flows.
  • Exposure to batch and real-time processing concepts.
  • Exposure to production support processes.
  • Exposure to financial markets, risk data, trading platforms, or regulatory reporting environments.

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