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LLM Prompt Developer

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Company
hireful
Job location
Banbury, UK
Salary
£50,000
Posted
Hosted by
Adzuna

Job details

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!
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