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2 месяца назад

Software Engineer (AI)

Формат работы
remote (только Canada)
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
Canada
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 (AI): Building technology to replace or transform legacy systems using a Generative AI platform with an accent on XP practices and TDD. Focus on pair programming, developing advanced data engineering solutions, and integrating LLM-based techniques to modernize critical business applications.

Location: Remote (Canada)

Company

A company specializing in safely rewriting critical business applications using their Generative AI platform, Imogen.

What you will do

  • Develop technology for legacy system transformation within small cross-functional XP teams.
  • Pair program with engineers and collaborate with product managers and designers.
  • Apply XP engineering practices including TDD, refactoring, and continuous integration/delivery.
  • Operate and support production applications using a DevSecOps model.
  • Conduct technical discovery for existing customer legacy systems.
  • Contribute to research in generative AI and data engineering.

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
  • Must be comfortable with pair programming as the default mode of working.
  • Strong analytical skills and attention to detail.
  • Ability to learn new software and technologies quickly.
  • Passion for generative AI and/or data engineering.

Nice to have

  • 1 to 4 years of software engineering experience (internships, co-ops, or competitions).
  • Comfortability as a fullstack developer with expertise in at least one modern language and framework.
  • Exposure to XP practices such as TDD.
  • Experience in both application development and research environments.

Culture & Benefits

  • Culture based on values: "Do the right thing", "Do what works", and "Be kind".
  • Commitment to collective ownership, short feedback loops, and continuous improvement.
  • Strong support for professional growth and deepening of engineering craft.
  • Collaborative environment emphasizing mentorship and tech talks.

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