4 дня назад
Software Engineer (Mid Level, AI)
40 000 - 60 000GBP
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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