At a Glance
- Tasks: Design and deploy innovative AI solutions that drive real business impact.
- Company: Join Network Plus, a leader in essential utility and infrastructure services.
- Benefits: Competitive salary, full benefits package, and a commitment to diversity.
- Other info: Be part of a collaborative team driving AI adoption across the business.
- Why this job: Shape the future of AI in a dynamic environment with real-world applications.
- Qualifications: Experience in AI/LLM features, strong coding skills in C# or Python.
The predicted salary is between 60000 - 80000 £ per year.
Network Plus is one of the UK's leading providers of essential utility and infrastructure services, delivering critical work across power, gas, water, and telecoms for the nation's largest network owners. We're building the next generation of AI solutions to support business growth, and we're looking for an AI Engineer who's genuinely fired up about solving complex challenges with a modern AI tech stack. We need a builder — someone who can bridge product thinking, solid engineering, and real-world AI applications, turning ambitious ideas into production-ready systems that drive measurable business impact.
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
We offer a competitive salary based on experience along with a full benefits package. Network Plus is proud to be an Equal Opportunity Employer. We celebrate diversity and do not discriminate based on race, religion, colour, nationality, sex, sexual orientation, age, veteran status, disability status, or any other applicable characteristics protected by law. We are Armed Forces-friendly. We welcome applications from ex-Armed Forces personnel, reservists, armed forces veterans, cadet instructors and military spouses/partners. We understand that privacy and the security of your personal information is extremely important. By applying for this role, you agree to the terms of our privacy policy.
AI Engineer employer: Network Plus
At Network Plus, we pride ourselves on being a forward-thinking employer that champions innovation and collaboration. As an AI Engineer, you'll be part of a dynamic team dedicated to building impactful AI solutions within a supportive work culture that values diversity and personal growth. With access to cutting-edge technology and opportunities for professional development, you'll have the chance to make a real difference in the utility and infrastructure sector while enjoying a competitive salary and comprehensive benefits package.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Network Plus or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Network Plus.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Network Plus.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Network Plus that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Network Plus.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Network Plus and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Network Plus
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Network Plus uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
