AI Engineer

AI Engineer | Fareham, Hampshire Permanent We're working with our client, a growing technology business, to recruit an AI Engineer who will run, secure and build AI across the organisation. Our client already uses AI day to day: Microsoft Copilot business-wide, Azure AI Foundry, Claude Code for building internal software tools, and locally hosted models running through a self-hosted n8n workflow platform.

They now need an engineer to run it all properly, keep it secure, and build what comes next. AI is expected to touch almost every business system over time, so this role will grow with the company. What you'll do Run and support the AI platform Deploy and manage AI services and supporting applications on Linux, containers and virtual machines, including monitoring, patching, backup and recovery Maintain and improve the local inference environment and self-hosted automation platform Manage code and deployments through GitLab Support incident investigation, troubleshooting and vulnerability remediation Secure and govern Build in safeguards: authentication, least-privilege access, input validation, audit logging and human approval for sensitive actions Protect against AI risks such as data leakage, prompt injection, unsafe tool use and over-permissioned agents Apply secure-by-design controls: data classification, encryption, secrets management and separated development, test and production environments Help define AI governance, risk assessments and technical standards, and evaluate models, platforms and suppliers Build Design, prototype and support AI applications, assistants, agents and workflow automations Develop retrieval-augmented generation (RAG), semantic search and knowledge solutions connected safely to company documents, databases and APIs Design, deploy and govern Model Context Protocol (MCP) servers, clients and tools Review and validate AI-generated code, data and outputs Connect to the business Work with the wider business systems used across Engineering, Manufacturing and corporate functions, learning how the processes work so AI can integrate with them properly Troubleshoot integration and authentication issues and coordinate changes with colleagues and suppliers What you'll bring Essential Experience deploying and operating applications on Linux, containers and virtual machines, including monitoring, patching, backup and recovery Understanding of secure development, access control, data protection, auditability and responsible AI Practical experience building or supporting AI-enabled applications, integrations or automations (minimum 1 year, or less if you...

Report this job