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# AI Engineer

- **Company:** Matchtech
- **Location:** Whiteley, United Kingdom
- **Salary:** £40,000 - £45,000
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Audit Trail, User Authentication, Business Systems, Cyber Security, Databases, Data Validation, Information Leak Prevention, Linux, Key Management, Knowledge Management, Knowledge-Based Systems, Machine Learning, Role-Based Access Control, Search Technologies, Secure Coding, Systems Integration, Virtual Machines, Scripting, Data Classification, Retrieval-Augmented Generation, Large Language Models, Generative AI, Agentic-AI, AI Platforms, Api Design, Model Context Protocol, Software Version Control
- **Published:** November 11, 2026
- **Apply:** https://www.cv-library.co.uk/job/225825684/AI-Engineer

## About the Role

* Practical experience designing, developing, deploying or supporting AI-enabled applications, integrations and workflow automations
 * Working knowledge of LLMs, RAG, semantic search, AI agents and Model Context Protocol
 * Experience deploying and operating applications across Linux systems, containers and virtual machines
 * Experience of monitoring, patching, backup and recovery within application environments
 * Experience working with APIs, structured data, system integrations, authentication and role-based access control
 * Familiarity with source control and automation/scripting
 * Understanding of secure development, AI governance, information security, data protection, auditability and responsible AI principles
 * Strong analytical/troubleshooting skills with clear communication and documentation

## Description

* Design, prototype, deploy and support secure AI applications, assistants, agents, knowledge systems and workflow automations using approved Microsoft, cloud-hosted and local platforms
 * Develop retrieval-augmented generation (RAG), semantic search and knowledge-management solutions, connecting AI safely to approved systems, documents, databases and APIs
 * Design, deploy and govern Model Context Protocol (MCP) servers, clients and tools to securely connect AI applications to approved business systems and data
 * Implement safeguards: authentication, least-privilege permissions, input validation, audit logging and human approval for sensitive actions
 * Evaluate AI models, platforms, suppliers and use cases for accuracy, security, privacy, data residency, performance, cost and long-term supportability
 * Help define and maintain AI governance, risk assessments and technical standards
 * Apply secure-by-design controls including data classification, encryption, secrets management, role-based access, and separation of dev/test/prod environments
 * Protect against AI-related risks (data leakage, prompt injection, malicious content, insecure outputs, unsafe tool use, excessive agent permissions)
 * Monitor AI services for unusual activity, failures and unexpected behaviour
 * Support and improve relevant business systems where needed to enable AI adoption and operational improvement
 * Deploy/configure/manage secure AI applications and supporting services across Linux systems, containers and virtual machines, including monitoring, patching, backup and recovery