At a Glance
- Tasks: Build AI agents and workflows using cutting-edge LLM technologies.
- Company: Join an innovative AI-native software business backed by a global tech leader.
- Benefits: Enjoy hybrid work, competitive salary, and the chance to shape impactful products.
- Other info: Dynamic startup environment with excellent growth opportunities.
- Why this job: Make a real difference by solving genuine operational challenges in various industries.
- Qualifications: Experience with AI applications, strong problem-solving skills, and teamwork.
The predicted salary is between 80100 - 97900 £ per year.
Location
Hybrid (London)
Work Type
Permanent
Role
We're partnering with an AI-native software business that's redefining how enterprise AI is built.
Rather than retrofitting AI into existing products, this team was created to build AI-native solutions from the ground up.
Backed by one of the world's leading enterprise software organisations, they combine the pace and innovation of a startup with the stability, funding and customer base of a global technology business.
Having already surpassed $10m ARR within their first year, they're building AI products that solve real-world operational challenges for some of the world's largest industrial organisations.
Every solution begins with a customer problem, is rapidly prototyped, validated and then scaled across a global customer base.
This is an opportunity to build products that genuinely make an impact—not proofs of concept that never leave the lab.
Responsibilities
- Build AI agents and intelligent workflows using the latest LLM technologies.
- Develop cloud-native backend services supporting AI products.
- Design Retrieval Augmented Generation (RAG) pipelines and context management solutions.
- Work closely with Product, Design and Data Engineering to rapidly deliver new features.
- Collaborate directly with customers to understand complex business challenges.
- Build evaluation frameworks and guardrails to improve AI quality and reliability.
- Take products from prototype through to production deployment.
Required Skills
- Experience building production AI or LLM applications.
- Knowledge of prompt engineering, AI agents and Retrieval Augmented Generation (RAG).
- Experience with vector databases, embeddings and backend APIs.
- Strong problem-solving skills and a passion for building products.
- Comfortable working within fast-moving, high-autonomy teams.
Why should I apply?
This isn't another AI research role.
You'll be building products that are deployed into real enterprise environments, solving genuine operational challenges across manufacturing, energy, aerospace and industrial sectors.
You'll enjoy startup ownership without startup risk, working alongside experienced engineers whilst helping shape a business that's only just getting started.
If you love building, shipping and seeing your work create measurable impact, this is an opportunity you'll want to explore.
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Artificial Intelligence Engineer in London employer: WeDo
Join a dynamic and growing Microsoft Partner in the Midlands or South, where your role as an Account Manager will focus on building meaningful, long-term relationships with customers. Enjoy a supportive work culture that values collaboration and invests in employee growth, offering hybrid working options and a competitive salary package that includes a car allowance and commission. This is a unique opportunity to make a significant impact in a company that prioritises customer success and values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer in 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 WeDo 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 WeDo.
✨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 WeDo.
✨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 WeDo 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 Artificial Intelligence Engineer in 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 WeDo.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at WeDo 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 WeDo
✨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 WeDo 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.
