AI Engineer

Key Responsibilities

• Design, develop, and deploy AI solutions across the business
• Integrate AI with line-of-business applications and data pipelines hosted on Azure and Microsoft Fabric
• Build AI automation and agent workflows
• Implement observability across our AI stack - evaluation, prompt monitoring, model performance, and cost
• Embed governance, security, and responsible AI practices from day one
• Collaborate with the Data and AI Product Owner and wider data and engineering teams to drive AI adoption across Network Plus.

Tech Stack

• C#, .NET and/or Python
• Azure, Azure AI Services, Microsoft Fabric
• SQL Server
• Modern AI toolkit including LLMs, RAG pipelines, vector databases, and agent frameworks
• Tools to design and build agents such as Copilot Studio

What Sets This Role Apart

• You'll own it end-to-end. From concept to deployment, you'll shape AI solutions that deliver impact for the business
• Real production AI. You'll work on live systems that real people across Network Plus depend on.
• Genuine influence. You'll help shape how AI is embedded into core business operations and have a real say in technical direction.
• Modern stack, modern problems. You'll work hands-on with the latest AI tooling - agents, RAG, observability, the lot -  solving challenges that don't have textbook answers yet.

Experience and Qualifications

• Hands-on experience shipping AI/LLM-powered features into production, ideally across line-of-business applications and data platforms like Microsoft Fabric
• Deep understanding of LLM integration, prompt engineering, AI agents and workflows, RAG systems, and vector databases
• Strong backend engineering skills (integration, data processing, system design)
• Confident hands-on coder in C# and/or Python
• Solid knowledge of Azure and Azure AI Services
• Proactive mindset with a product lens - you ask the right questions, not just write code

Salary and Benefits