At a Glance
- Tasks: Build next-gen AI infrastructure and own features from code to deployment.
- Company: Fast-growing AI company revolutionising industrial asset management.
- Benefits: Competitive salary, performance bonus, and hybrid work in London.
- Other info: Opportunity for real ownership and career growth in a dynamic environment.
- Why this job: Join a pioneering team and make a real impact with cutting-edge AI technology.
- Qualifications: Experience in AI development, DevOps, and a strong academic background.
The predicted salary is between 90000 - 90000 £ per year.
We're working exclusively with a fast-growing AI company in London building next-generation infrastructure for industrial asset management. Their platform combines AI-powered Digital Twins, Augmented Reality, and Workflow Automation — deployed across Oil & Gas, Nuclear, Utilities, Manufacturing, and Mining. Real product, real customers, serious engineering ambition.
They're hiring an AI-Native Engineer. The person they want has rebuilt their entire development workflow around AI. Not just using Cursor or Claude Code to write faster, but going further: building on top of these tools, creating custom engines and workflows trained on their own principles, so AI compounds their output over time. You use AI across the full stack: front-end, back-end, architecture, deployment — and you've shipped something real as a result.
You'll own features end-to-end: from code to production deployment. That means full DevOps ownership: CI/CD pipelines, Docker, AWS (EC2, S3, Lambda), infrastructure as code. You'll work with agentic AI frameworks and orchestration tools (LangChain, LlamaIndex, or direct LLM API work) to deliver intelligent automation across the platform.
- Someone who leverages AI tools as a core part of how they work — and ideally has gone further by building custom AI workflows or engines on top of them.
- Something shipped with actual users. A side project, startup, or tool that exists and is verifiable.
- Full DevOps ownership: AWS, Docker, CI/CD pipelines built and managed from scratch.
- Strong academic background — you learn hard things fast.
Competitive salary and performance bonus. Hybrid in London. Real ownership at a company building at the frontier of industrial AI.
AI Engineer - £90K - London employer: WüNDER_TALENT
Join a pioneering AI company in London that is at the forefront of industrial asset management, where you will have the opportunity to work on cutting-edge technology and take full ownership of your projects. With a hybrid work model, competitive salary, and performance bonuses, this role offers a dynamic work culture that fosters innovation and personal growth. You'll be part of a team that values serious engineering ambition and encourages the development of custom AI workflows, making it an ideal environment for those looking to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - £90K - London
✨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 WüNDER_TALENT 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 WüNDER_TALENT.
✨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 WüNDER_TALENT.
✨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 WüNDER_TALENT 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 - £90K - London
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 WüNDER_TALENT.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at WüNDER_TALENT 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 WüNDER_TALENT
✨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 WüNDER_TALENT 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.
