At a Glance
- Tasks: Design and build AI systems for compliance automation in a fast-paced environment.
- Company: Join a cutting-edge company revolutionising compliance for major financial institutions.
- Benefits: Competitive salary up to £150k, remote work options, and professional growth opportunities.
- Other info: Dynamic team culture focused on innovation and operational excellence.
- Why this job: Be at the forefront of AI technology and make a significant impact in the finance sector.
- Qualifications: 2+ years in software engineering with expertise in TypeScript, Python, and AI systems.
This company builds a no‑code compliance automation platform, used by major financial institutions to streamline onboarding and manage risk. AI is the core engine, driving document review, network discovery, and risk assessment.
The role
You will join a lean engineering team focused on elevating the core AI layer from prototypes to production‑ready systems. Your work will involve designing and shipping RAG pipelines, vector search, and agentic workflows for compliance‑grade customers, owning the full lifecycle from design to operation on AWS and Kubernetes, and pushing the bar on evaluation, observability, and reliability.
The work
- Design, build, and iterate on production‑grade RAG pipelines, vector search, and agentic workflows.
- Ship AI systems that classify documents, surface critical signals, and automate actions within customer compliance flows.
- Own the operational excellence of your AI systems on AWS and Kubernetes, ensuring reliability and performance.
- Drive the evaluation, testing, and observability strategy for LLM‑powered systems in a high‑stakes environment.
What You Bring
- 2+ years of software engineering experience, with a proven track record of shipping AI features to production.
- Fluency in both TypeScript and Python; comfortable working across both languages.
- Hands‑on experience building with RAG, vector databases, and agentic patterns (e.g., LangChain).
- Experience operating production systems on AWS and Kubernetes, including deployment, monitoring, and debugging.
- A strong understanding of LLM evaluation, testing, and observability in production environments.
AI Engineer (up to £150k) in London employer: Dex
As an AI Engineer at our innovative company, you will be part of a dynamic and collaborative team dedicated to transforming compliance automation for leading financial institutions. We offer a vibrant work culture that fosters creativity and continuous learning, alongside competitive compensation and benefits, including opportunities for professional development and growth in the rapidly evolving field of AI. Located in a tech-forward environment, our company provides unique advantages such as access to cutting-edge technology and a commitment to operational excellence, making it an exceptional place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer (up to £150k) 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 £150k) 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.
