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6 дней назад

Junior Software Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Junior Software Engineer (AI): Building and shipping features for secure, scalable collaboration systems with an accent on production software, secure coding, and AI-assisted development. Focus on learning across cloud engineering, testing, automation, code review, and supporting live systems with guidance from experienced engineers.

Location: Flexible working arrangements with the Engineering team meeting in person at least bi-monthly; registered office in London, United Kingdom.

Company

hirify.global builds secure, scalable collaboration solutions for security-conscious organisations working with highly sensitive information.

What you will do

  • Build and ship features in live production systems with design guidance from senior engineers.
  • Participate in code reviews, documentation, and knowledge sharing.
  • Understand user needs and contribute to designing and delivering solutions.
  • Work alongside experienced colleagues on live systems, including supporting them when issues occur.
  • Experiment with AI-powered development tools and share findings with the team.
  • Develop through pairing, mentoring, structured learning, and experimentation.

Requirements

  • Degree in Computer Science or a related subject, or equivalent practical experience.
  • Typically 1–3 years of professional software development experience, including placements and internships.
  • Working knowledge of at least one relevant language, such as JavaScript/TypeScript, Python, or Java.
  • Interest in security and awareness of secure coding basics, including common vulnerabilities and how to avoid them.
  • Clear written and verbal communication, with comfort working in a remote team.

Nice to have

  • Experience with AWS or GCP and containers such as Docker.
  • Exposure to CI/CD pipelines or infrastructure as code.
  • Experience with AI-assisted development tools such as Claude Code, GitHub Copilot, or Cursor.
  • Personal projects, open-source contributions, or other self-directed software projects.

Culture & Benefits

  • Flexible working arrangements in a distributed company.
  • Inclusive environment supporting different communication and collaboration preferences.
  • Structured onboarding, ongoing mentorship, protected learning time, and a learning budget.
  • Accommodation is available throughout the application and employment process.
  • Regular in-person Engineering team meetings, at least bi-monthly.

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