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4 дня назад

Software Engineer (Mid Level, AI)

40 000 - 60 000GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Software Engineer (Mid Level, AI) (Full-Stack/AI): Building scalable software and production-ready AI solutions across client projects with an accent on APIs, cloud platforms, CI/CD, and LLM integrations. Focus on designing full-stack systems, integrating RAG and agent-based solutions, and solving complex technical problems in enterprise environments.

Location: Leeds, United Kingdom; hybrid working with remote flexibility

Salary: £40,000–£60,000 per annum

Company

hirify.global is a technology-led consultancy delivering software engineering and AI-enabled solutions across client projects.

What you will do

  • Design and build scalable software across a range of client projects.
  • Develop across front end, back end, APIs, data, cloud platforms, and CI/CD pipelines.
  • Write clean, maintainable, well-tested code and contribute to technical design, testing, and delivery.
  • Integrate AI capabilities including LLM APIs, retrieval-augmented generation, and agent-based solutions.
  • Use AI coding tools throughout the development lifecycle and evaluate technologies for practical business value.
  • Work directly with clients in enterprise environments and solve complex technical problems.

Requirements

  • 2+ years of commercial experience as a Software Engineer or Full Stack Engineer.
  • Strong software engineering fundamentals, including testing and CI/CD.
  • Experience with back-end technologies such as Java, Python, Node, C#, or Go.
  • Experience with front-end technologies such as React, Vue, or Flutter.
  • Experience with cloud platforms and modern development practices.
  • Strong communication skills and the ability to work with clients, complexity, and ambiguity.

Nice to have

  • Exposure to LLMs, RAG, or agent frameworks.
  • Experience using AI coding tools and interest in AI.
  • Willingness to learn and adapt across different technologies.

Culture & Benefits

  • Hybrid working model with remote flexibility.
  • Private healthcare.
  • Professional development and funded learning.
  • Opportunity to work on modern AI-enabled systems at scale.
  • Clear progression within a growing engineering function.

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