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: Collaborate with industry experts in a dynamic and supportive environment.
- Why this job: Make a real impact in the AI space while working with cutting-edge technology.
- 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 Slough 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 Slough
✨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. If you’ve built anything cool with Azure OpenAI or Copilot Studio, make sure it’s front and centre. This is your chance to shine!
✨Tip Number 3
Prepare for technical chats! Brush up on your debugging skills and be ready to discuss how you tackle issues with LLM-based systems. Practise explaining your thought process clearly; it’ll help you stand out during interviews.
✨Tip Number 4
Apply through our website! We’re always on the lookout for talented AI Engineers. By applying directly, you’ll ensure your application gets the attention it deserves. Plus, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace Artificial Intelligence Engineer in Slough
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 LLM-based applications. We want to see how your skills align with what we're looking for!
Showcase Your Projects:Include specific examples of your work with Microsoft technologies, like Copilot Studio or Power Platform. If you've built anything using Azure OpenAI or similar services, let us know! Real-world examples can really make your application stand out.
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 through your experience and skills. We appreciate a well-structured application that gets straight to the good stuff!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you're keen on joining the StudySmarter team!
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 involves working with Microsoft's stack, get comfortable with tools like Copilot Studio and Power Platform. If you have experience with Azure OpenAI or similar services, be prepared to share specific examples of how you've used them in past projects.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Brush up on debugging LLM systems and be ready to explain how you isolate issues. Practising common scenarios can help you articulate your thought process clearly.
✨Engage with Client Scenarios
Since you'll be working closely with client SMEs, think about how you would approach validation cycles and collaboration. Prepare to discuss how you would handle compliance and risk considerations in your AI solutions, showcasing your understanding of the client's needs.
