At a Glance
- Tasks: Develop cutting-edge AI models and enhance intelligent systems for strategic decision-making.
- Company: Join a top-tier tech firm with an elite engineering team from renowned institutions.
- Benefits: Competitive salary up to £200k, career growth, and impactful projects.
- Other info: In-person role in Hoxton, London with significant ownership of the AI roadmap.
- Why this job: Be at the forefront of AI innovation and shape the future of business decisions.
- Qualifications: Proven experience in AI engineering and a passion for solving complex problems.
The predicted salary is between 180000 - 200000 £ per year.
This role is with one of Dex's trusted partner companies. We work closely with their teams to truly understand their culture, goals, and what they're looking for, so we can match you with the right opportunity and give you context about the role before you commit to a process. Dex is an AI recruiter agent that helps you run your job search. Tell Dex your stack, seniority, and what you want to build. We will manage your applications and surface other opportunities that are a fit.
Every major business decision relies on financial models. Yet, building them is one of the worst‑tooled forms of programming. This company is reinventing how businesses make their biggest decisions, starting with an AI add‑in for complex financial modelling. Their long‑term vision: build the AI operating system for the entire strategic decision lifecycle – a new category with a $100bn+ opportunity. This is a small, elite engineering team, with backgrounds from Jane Street, Bloomberg, Cambridge, and UCL.
You will join this lean team as an AI Engineer, focused on making their core AI agent smarter. This isn't about 'vibe coding' or dabbling with AI tools. This is about deeply understanding and leveraging the latest models, improving agent harnesses, and owning the full lifecycle from data collection to SFT and RL. You will ship high‑quality code at speed, with a clear path to technical leadership and significant ownership of the AI roadmap.
The work
- Ship high‑quality code at speed, leveraging the latest AI models and tools. This means deep expertise in prompting, model selection, and practical application (e.g., Claude Code, Cursor).
- Enhance the core AI agent's intelligence by refining its harness, tools, and context optimization.
- Own the full AI lifecycle: from designing evaluation pipelines and collecting data to implementing Supervised Fine‑Tuning (SFT) and Reinforcement Learning (RL).
- Collaborate closely with product design to ensure every AI‑powered feature is intuitive and visually consistent.
- Drive significant parts of the AI roadmap, with a clear path to technical leadership within a rapidly evolving product.
What You Bring
- Unquestionable evidence of being a top‑tier engineer. This is non‑negotiable.
- Hands‑on experience building your own AI agents, including practical application of concepts like MCP, skills, and hooks.
- A high degree of agency and determination; you thrive on solving complex problems autonomously.
- This is a full‑time, 5‑day‑a‑week, in‑person role based in Hoxton, London.
Why apply through Dex
This is a rare, high‑impact AI engineering role that won't be openly advertised. Apply through Dex to cut through the noise, get a full brief on the company and role, and ensure your application stands out. We help you skip the cold‑apply process and get directly in front of the hiring team for opportunities like this.
AI Engineer (up to £200k) in London employer: Dex
This company stands out as an exceptional employer, offering a unique opportunity to work within a small, elite engineering team in the heart of Hoxton, London. With a strong focus on innovation and technical leadership, employees are encouraged to take ownership of their projects while benefiting from a collaborative work culture that fosters growth and development. The chance to contribute to groundbreaking AI solutions in a high-impact role makes this an attractive workplace for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer (up to £200k) 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 AI Engineer (up to £200k) 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.
