LLM Prompt Developer

  • hireful
  • Jun 16, 2025
Full time I.T. & Communications

Job Description

Excited by AI developments in the Software Engineering world & how the two can work together in order to create excellent software products?

Do you have (any level of) experience in LLM, prompt-based software engineering & AI-assisted development tools such as Cursor, Windsurf, GitHub Copilot, V0 by Vercel, or similar .?

If you do & you are looking to own this piece, alongside the Lead engineer & CTO, we are keen to hear from you.

Due to recent investment & expansion, we are growing our Product & Software Engineering teams, with a modern AI-driven development environment at the heart of our coding practices please join us on this journey.

Role title: LLM Prompt Engineer / Developer. AI Development tools engineering. Software Developer who has experience in these areas.

Salary: £50K + Benefits package

Location: Banbury, Oxfordshire. Hybrid working: 3 days in the office, 2 from home. Good commutes from Oxford, Rugby, Milton Keynes, Northampton, Bicester, Warwick, etc.

We d need to see .

- 3+ years in software development (fullstack; any language but likely to be Python, Typescript / Javascript, maybe?)

- Proven ability to translate requirements and user stories into functional code components and systems.

- Demonstrable experience or a strong, demonstrable interest in leveraging Large Language Models (LLMs) and AI-assisted tools within the software development lifecycle.

We have a whole bunch of desirables , but TBH, treat the below as things we want to work with you on . If you bring any of this experience, that s great!

- Experience with prompt engineering, designing and refining prompts for code generation, documentation, or testing and an understanding of

- Hands-on experience with AI-assisted development environments or tools (e.g Cursor, Windsurf, GitHub Copilot, v0 by Vercel, or similar).

- Exposure to SaaS product development, building and consuming APIs, and working with modular or microservices architectures.

- Practical understanding of how LLMs (e.g via OpenAI, Anthropic APIs) can be applied to software development tasks.

- Ability to critically evaluate and iterate on LLM-generated outputs.

- Knowledge of or willingness to quickly learn prompt engineering techniques and best practices.

If you have read this far thank you & we really look forward to hearing from you.

Please hit the apply now button or get in touch for more details!