At a Glance
- Tasks: Design and build cutting-edge AI systems that power customer-facing products.
- Company: Join Chip, a fast-growing tech company revolutionising personal finance.
- Benefits: Enjoy flexible working, competitive salary, and a generous holiday allowance.
- Other info: Collaborative culture with excellent career growth opportunities and a focus on diversity.
- Why this job: Be at the forefront of AI innovation and make a real impact on wealth management.
- Qualifications: Deep experience in AI systems and a passion for technology.
The predicted salary is between 81000 - 99000 £ per year.
This is a senior individual contributor role at the technical heart of Chip's AI chapter. You will be a key technical contributor to our agentic AI systems, working closely with the Head of AI and the wider engineering team to design, build and scale the infrastructure that powers our customer-facing AI products.
Responsibilities include:
- Contributing to and implementing the technical architecture of Chip's multi-agent AI systems — from orchestration layer to inter-agent communication and context persistence.
- Authoring and maintaining architectural decision records (ADRs) and engineering standards for the AI chapter.
- Evaluating emerging techniques and approaches, adapting from research into production-ready implementations.
- Leading the hands-on implementation of AI systems alongside the team, maintaining deep technical involvement.
- Defining and implementing testing and evaluation strategies for agentic systems — models-as-judge, synthetic data, human-in-the-loop processes and runtime safety/quality controls.
- Identifying and implementing “flywheels” and processes that drive quality and performance through continuous iterative improvements.
- Owning the integration of AI systems with Chip's existing infrastructure, including async patterns and SDK design.
- Setting the technical bar for AI engineering at Chip — reviewing work, raising standards, and mentoring engineers.
- Partnering with the AI Product Manager and wider engineering teams on technically complex initiatives.
- Contributing to Chip's company-wide AI engineering standards and governance.
Requirements:
- Deep hands-on experience designing and building multi-agent AI systems in production.
- Proven ability to take AI systems from concept through to production with long-term ownership.
- Track record of solving hard technical problems: large context windows, hallucination mitigation, novel orchestration patterns.
- Experience building customer-facing AI systems in regulated, high-trust, or high-risk domains is a strong plus.
- Experience building AI systems on AWS is strongly preferred, particularly using services such as Bedrock, SageMaker, ECS, and EventBridge.
- Strong experience with evaluation frameworks, retrieval systems, model behaviour analysis and production observability for AI systems.
- Comfortable working across the full stack — infrastructure, services, and AI layer — to ship end-to-end solutions.
- Stays current with the fast-moving AI landscape and is genuinely excited about being at the forefront of what's possible.
- Interested in the commercial and product context of the systems you build, not just the engineering.
You will report to the Head of AI and work alongside a small team of Backend Engineers in building and maintaining Chip’s AI Platform. You will also work closely with the product teams who are building customer-facing features on top of your platform, as well as stakeholders across the business on internal AI-driven opportunities.
We’re looking for someone who’s genuinely excited about Chip and energised by the opportunity to help build the future of wealth, making saving, investing and pensions simpler and more accessible for everyone.
Working hours:
- Monday to Thursday: 9:00 AM – 6:00 PM
- Friday: 8:00 AM – 4:00 PM (Start your weekend early!)
Benefits include:
- Discretionary Performance-Related Annual Bonus of up to 10% (Cash) and 5% (Shares) based on your gross annual salary.
- Workplace pension scheme, contributing 5% on earnings up to £50,000.
- Private medical insurance (medical history disregarded).
- Employee Assistance Programme.
- Cycle to work scheme.
- Season ticket loan.
- Flexible working arrangements.
- 28 days holiday plus bank holidays, plus the days between Christmas and New Year.
- Annual training budget for courses, workshops, or conferences to help you advance your career.
- Company laptop.
Chip is an equal-opportunity employer and values diversity. We are passionate and committed to our people and go beyond the rhetoric of diversity and inclusion. We encourage applications from people irrespective of their gender, race, sexual orientation, religion, age, disability status or caring responsibilities.
AI Engineer (Remote) in London employer: Chip
Join a dynamic and supportive team as a Remote Customer Support Executive, where your passion for customer care will be valued and nurtured. With flexible working hours and a focus on employee well-being, we offer a competitive salary, performance-related bonuses, and a workplace pension scheme to help you secure your future. Embrace the opportunity to grow within a fast-paced, innovative company that celebrates individuality and fosters a positive work culture, all from the comfort of your home in the UK.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer (Remote) 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 Chip 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 Chip.
✨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 Chip.
✨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 Chip 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 (Remote) 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 Chip.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Chip 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 Chip
✨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 Chip 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.
