At a Glance
- Tasks: Design and develop cutting-edge AI applications that transform knowledge discovery and automation.
- Company: Join a forward-thinking tech company at the forefront of AI innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic work environment with endless opportunities to learn and grow.
- Why this job: Be part of a team that shapes the future of AI technology and makes a real impact.
- Qualifications: Experience with AI technologies, Generative AI, and strong programming skills.
The predicted salary is between 81000 - 99000 £ per year.
Find out if this opportunity is a good fit by reading all of the information that follows below.
AI Engineer Enterprise Knowledge Base (EKB)
Role Overview
We are looking for an experienced AI Engineer to design, build, and deploy enterprise-grade AI solutions that enhance knowledge discovery, retrieval, and automation.
The ideal candidate will have strong expertise in Generative AI, Large Language Models (LLMs), AI Agents, and modern AI application frameworks, with a passion for delivering scalable, production-ready solutions.
Key Responsibilities
- Design and develop AI-powered applications using Gen AI, LLMs, NLP, and Agentic AI technologies.
- Build intelligent RAG (Retrieval-Augmented Generation) solutions leveraging Embeddings and Vector Databases.
- Develop and orchestrate AI Agents and Multi-Agent Systems to automate complex business workflows.
- Apply Prompt Engineering and Context Engineering techniques to optimise AI performance and accuracy.
- Implement AI solutions using frameworks such as Lang Chain, Lang Graph, and MCP.
- Integrate AI services and enterprise platforms through REST APIs and cloud-native architectures.
- Deliver scalable, secure, and reliable solutions using Python, SQL, Git, and CI/CD practices.
- Test, evaluate, and continuously improve LLM and AI Agent performance, reliability, and safety. xgikmsk
- Collaborate with business, data, and engineering teams to drive AI adoption and innovation.
- Required Skills
- AI, Generative AI (Gen AI), Large Language Models (LLMs), Natural Language Processing (NLP)
AI Engineer in Manchester employer: McGregor Boyall Associates
Join a forward-thinking AI technology company that values innovation and creativity, offering a fully remote work environment that promotes flexibility and work-life balance. With competitive salaries and a strong emphasis on employee growth, you'll have the opportunity to develop cutting-edge desktop applications while collaborating with a passionate team dedicated to transforming user experiences. This role not only allows you to enhance your technical skills but also to contribute to meaningful projects that make a real impact in the tech landscape.
Contact Details:
McGregor Boyall Associates Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in Manchester
✨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 McGregor Boyall Associates 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 McGregor Boyall Associates.
✨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 McGregor Boyall Associates.
✨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 McGregor Boyall Associates 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 in Manchester
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 McGregor Boyall Associates.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at McGregor Boyall Associates 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 McGregor Boyall Associates
✨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 McGregor Boyall Associates 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.
