At a Glance
- Tasks: Design and build generative AI agents for a high-profile UK payments client.
- Company: Join a leading tech firm focused on innovative AI solutions.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic role with potential for career advancement in cutting-edge technology.
- Why this job: Make an impact in the AI space while collaborating with industry experts.
- Qualifications: Experience in generative AI engineering and Microsoft platforms is essential.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking a hands-on Senior AI Engineer to deliver a high-profile, time-boxed AI Proof of Concept for a UK regulated payments client. The role focuses on designing and building generative AI agents on Microsoft's stack — Copilot Studio under the client's ratified SDLC Framework, or M365 Copilot Agents via Agent Builder as a fallback. The engineer will work directly with client SMEs across Compliance, Audit, Risk and Rules & Standards through weekly validation cycles, and will own the technical build from prompt design through to structured-output delivery.
Required Skills & Experience
- Generative AI engineering (essential)
- Hands-on production experience building LLM-based applications — not classical ML or analytics. Comfortable with prompt design, structured output generation, retrieval augmented generation (RAG), embeddings, and hallucination mitigation.
- Practical experience with at least one major LLM API or service (Azure OpenAI strongly preferred, OpenAI direct, Anthropic, Google acceptable).
- Ability to debug LLM-based systems systematically: isolating chunking issues, retrieval failures, prompt issues, and model behaviour.
- Understanding of when an agent platform is the right tool versus when to drop into code, and the limits of declarative agent platforms.
- Microsoft platform fluency (essential)
- Hands-on experience with Microsoft Power Platform: Power Automate flows, Dataverse, and connectors. Experience with AI Builder is a plus.
- Working knowledge of Microsoft Copilot Studio (preferred) or M365 Copilot Agents (declarative agents via Agent Builder). Candidates without direct Copilot Studio experience but with strong adjacent Power Platform / Microsoft GenAI exposure will be considered subject to a short technical assessment.
- Familiarity with SharePoint as a knowledge source for AI agents, Entra ID authentication, and the Microsoft 365 ecosystem more broadly.
- Working knowledge of Azure services relevant to AI delivery — Azure OpenAI, Azure AI Document Intelligence, and Azure Storage — at consumer-of-API level rather than infrastructure-build level.
Artificial Intelligence Engineer in Northampton employer: NXS Tech Ltd
Join a forward-thinking company that values innovation and collaboration, where as an Artificial Intelligence Engineer, you will have the opportunity to work on cutting-edge AI projects within a supportive and dynamic team environment. Our commitment to employee growth is reflected in our continuous learning initiatives and access to the latest technologies, ensuring you stay at the forefront of the industry. Located in the UK, we offer a vibrant work culture that encourages creativity and offers unique advantages such as flexible working arrangements and a focus on work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer in Northampton
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space, especially those who work with Microsoft technologies. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your generative AI projects, especially those using LLMs. Share your work on GitHub or even write a blog post about your experiences. This will not only impress potential employers but also give you something to talk about in interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your debugging skills. Be ready to discuss how you’ve tackled issues with LLM-based systems in the past. Practising common prompt design scenarios can also help you stand out as a candidate who knows their stuff.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, applying directly can sometimes give you a better chance of getting noticed by hiring managers. So, what are you waiting for? Get your application in!
We think you need these skills to ace Artificial Intelligence Engineer in Northampton
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of an AI Engineer. Highlight your experience with generative AI and any hands-on projects you've worked on, especially those involving Microsoft technologies. We want to see how your skills align with what we're looking for!
Showcase Your Projects:Include specific examples of your work with LLM-based applications. If you've built anything using Azure OpenAI or similar services, let us know! We love seeing real-world applications of your skills, so don't hold back.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate a well-structured application that gets straight to the good stuff!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at NXS Tech Ltd
✨Know Your Generative AI Inside Out
Make sure you brush up on your generative AI knowledge, especially around LLM-based applications. Be ready to discuss your hands-on experience with prompt design and structured output generation, as well as how you've tackled issues like hallucination mitigation.
✨Familiarise Yourself with Microsoft Tools
Since the role requires fluency in Microsoft's stack, dive deep into Copilot Studio and the Power Platform. Understand how to use Power Automate flows and Dataverse, and be prepared to share specific examples of how you've used these tools in past projects.
✨Prepare for Technical Questions
Expect to face technical questions that test your debugging skills with LLM-based systems. Think about scenarios where you've isolated chunking issues or dealt with retrieval failures, and be ready to explain your thought process clearly.
✨Engage with Client SMEs Scenarios
Since you'll be working closely with client SMEs, prepare to discuss how you would approach weekly validation cycles. Think about how you can effectively communicate technical concepts to non-technical stakeholders and ensure their requirements are met.
