At a Glance
- Tasks: Design and deploy cutting-edge AI features in a secure environment.
- Company: Join a trusted partner company revolutionising AI for enterprise clients.
- Benefits: Competitive salary up to £180k, with unique high-impact opportunities.
- Other info: Rare opportunity in a dynamic field with significant career growth.
- Why this job: Be at the forefront of AI innovation and make a real difference.
- Qualifications: 5+ years in software engineering with proven AI application experience.
The predicted salary is between 70000 - 90000 £ per year.
This role is with one of Dex's trusted partner companies that builds mission‑critical AI for enterprise customers in highly regulated environments where security and compliance are non‑negotiable.
Overview
Foundations Applied AI Engineer reporting directly to the founders. Own end‑to‑end development and deployment of AI‑powered features, from RAG systems to multi‑agent infrastructure, backend services, and data pipelines. Shape shipping production AI in a secure, regulated environment.
Responsibilities
- Design, build, and deploy AI features (RAG, multi‑agent systems) into a production platform.
- Develop robust backend services and APIs to support AI applications, ensuring enterprise‑grade security and performance.
- Construct and maintain data pipelines for AI model training, evaluation, and continuous improvement.
- Implement and monitor LLM evaluation frameworks to guarantee accuracy, reliability, and safety in sensitive environments.
- Scale and optimize critical infrastructure, including background workers and Redis‑backed queues, for high throughput.
Qualifications
- 5+ years of professional software engineering experience, with a clear track record of shipping production systems.
- Proven experience building and deploying AI applications (RAG, agent orchestration) in production, not just prototypes.
- Deep understanding of LLM evaluation techniques for accuracy, reliability, and safety.
- Strong backend engineering skills in Python (Django/FastAPI preferred) and relational databases.
- Expertise with cloud infrastructure, Docker, Kubernetes, CI/CD, and high‑throughput queueing systems.
Benefits / Opportunities
This is a rare, high‑impact Applied AI role that won't be openly advertised for long.
Applied AI Engineer (up to £180k) in London employer: Dex
Join a pioneering company at the forefront of AI technology, where you will have the opportunity to work directly with founders and shape the future of mission-critical AI solutions in secure environments. With a strong emphasis on employee growth, this role offers a unique chance to develop your skills in a collaborative and innovative culture, while enjoying competitive compensation and benefits that reflect the high-impact nature of the work.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer (up to £180k) 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 Dex 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 Dex.
✨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 Dex.
✨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 Dex 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 Applied AI Engineer (up to £180k) 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 Dex.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Dex 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 Dex
✨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 Dex 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.
