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# Senior AI Prompt Engineer

- **Company:** Randstad UK
- **Location:** Sheffield, UK
- **Experience:** Expert
- **Salary:** £130,000.0 - £143,000.0
- **Contract:** Temporary contract
- **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, C Sharp (Programming Language), Code Generation, Computer Programming, Databases, Continuous Integration, DevOps, Programming Tools, Python (Programming Language), Knowledge-Based Systems, Microsoft SQL Server, Windows PowerShell, TypeScript, Microsoft Power Automate, GitHub Copilot, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Code Restructuring
- **Published:** September 9, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2963245038-2

## About the Role

* Proven track record in advanced AI prompt engineering combined with traditional software/automation engineering.
 * Hands-on expertise utilizing GitHub Copilot, Microsoft Copilot, and Claude Code for code generation, review, and refactoring.
 * Deep proficiency in PowerShell scripting, enterprise automation, and system administration.
 * Strong database background, specifically with SQL Server.
 * Programming proficiency in at least one of the following: Python, JavaScript/TypeScript, C#, or advanced PowerShell.

Desirable Skills

 * Hands-on experience with Azure AI, OpenAI APIs, or Anthropic APIs.
 * Solid understanding of CI/CD, DevOps, and enterprise automation platforms.
 * Familiarity with RAG (Retrieval-Augmented Generation) architectures, vector databases, and knowledge systems.
 * Previous experience deploying AI solutions within large-scale or regulated enterprise environments.

## Description

Job Title: Senior AI Prompt Engineer (Contract) Location: Sheffield, UK (Hybrid: 2-3 days on-site) Duration: 6 Months (with potential extension) Experience: 5-7 Years, * Design, optimize, and manage advanced prompts for GitHub Copilot, Microsoft Copilot (M365 & Studio), and Claude/Claude Code.

 * Develop and maintain complex PowerShell scripts to support AI-driven workflows and enterprise system integrations.
 * Build, support, and scale AI-enhanced automation pipelines and internal developer tooling.
 * Securely integrate LLM capabilities into existing platforms, CI/CD pipelines, and enterprise systems.
 * Establish prompt engineering standards, governance patterns, and evaluation metrics for AI output quality and cost.


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