At a Glance
- Tasks: Design and deploy cutting-edge AI systems for real-time customer support in finance.
- Company: Gradient Labs, a dynamic AI startup founded by Monzo's early leadership team.
- Benefits: Join a well-funded team with opportunities for growth and innovation.
- Other info: Work in a hybrid London-based environment with elite professionals.
- Why this job: Be part of a pioneering team reinventing customer support with advanced AI technology.
- Qualifications: Experience in building machine learning systems and a passion for AI in regulated industries.
The predicted salary is between 80000 - 100000 £ per year.
Gradient Labs is a London-based AI startup, founded by Monzo's early leadership team, that recently raised $13M to reinvent customer support in regulated industries. They are building sophisticated agentic AI systems for financial services and achieved an impressive $1M ARR within just four months of launching.
As an AI Engineer at Gradient Labs, you will join a high-caliber team of ex-Monzo leaders to architect and scale sophisticated AI agents. You'll build the intelligent core of their customer support platform, focusing on reliability and security in highly regulated markets.
Location: London, UK
Why this role is remarkable:
- Join an elite founding team including Monzo's 20th employee and the architect of their world-class machine learning infrastructure.
- Work on a product with massive proven traction, hitting $1M ARR within four months of launch in the complex regulated finance sector.
- Benefit from a $13M funding round to reinvent customer support using advanced agentic AI and real-time fraud detection systems.
What You Will Do:
- Design and deploy agentic AI systems that handle complex customer support workflows in real-time for major financial institutions.
- Collaborate with the Chief Scientist to implement industry-leading fraud detection and security protocols within AI agent interactions.
- Scale machine learning infrastructure to support thousands of concurrent users while maintaining strict regulatory compliance and low latency.
The ideal candidate:
- Proven experience building and scaling machine learning systems or AI-powered products in a fast-paced, high-growth startup environment.
- Deep technical proficiency in modern AI frameworks and backend engineering with a focus on building production-ready agentic systems.
- Strong alignment with the mission of automating regulated industries and a desire to work in a hybrid London-based environment.
AI Engineer at Gradient Labs in London employer: Jack & Jill
Gradient Labs is an exceptional employer, offering a unique opportunity to work alongside an elite team of industry leaders in the heart of London. With a strong focus on innovation and growth, employees benefit from a dynamic work culture that encourages collaboration and creativity, as well as access to substantial funding for groundbreaking projects. The company prioritises employee development and provides a stimulating environment where talented individuals can thrive while contributing to the future of customer support in regulated industries.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer at Gradient Labs 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 Jack & Jill 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 Jack & Jill.
✨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 Jack & Jill.
✨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 Jack & Jill 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 at Gradient Labs 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 Jack & Jill.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Jack & Jill 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 Jack & Jill
✨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 Jack & Jill 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.
