At a Glance
- Tasks: Own quality across Wealth Management, driving automation and performance testing.
- Company: Join a dynamic fintech startup with a focus on innovation and collaboration.
- Benefits: Competitive salary, bonuses, flexible working, and generous holiday allowance.
- Other info: Enjoy an early Friday finish and a supportive workplace culture.
- Why this job: Make a real impact on product quality while advancing your career in a fast-paced environment.
- Qualifications: 7+ years in QA, strong programming skills, and automation expertise required.
The predicted salary is between 70000 - 70000 £ per year.
We're looking for a Senior AI QA Engineer who doesn't wait to be told what to test. You'll own quality across our entire Wealth Management experience — from strategy to execution, from microservices to the UI your customers touch. This isn't a "write test cases and sign off acceptance criteria" role. This is a role where you shape how quality works, where you push automation into the hands of developers, where you challenge the team to shift left, and where you hold the bar when the pressure is on. You’ll be the quality voice in every room you walk into — product discussions, architecture reviews, incident retrospectives. When something breaks, you’re already halfway through debugging it. When a new product launches, you’ve already stress-tested it.
What you can expect to be doing:
- Own the Quality Strategy. You define and execute the test strategy for every new product and feature across the Wealth Management business line. You don't inherit a plan — you build one, adapt it, and make sure it holds up under real-world conditions.
- Drive Automation Where It Matters. You build and maintain automation frameworks for microservices, APIs, and end-to-end flows. Your goal is to make your team self-sufficient, not dependent on you for every regression pass.
- Lead Performance Testing. You own performance testing end to end — designing load profiles, scripting scenarios, analysing results, and working with engineering to fix what you find. You treat performance as a first-class quality concern, not an afterthought before release.
- Champion Shift-Left Practices. You embed quality thinking early in the development lifecycle. You're in design reviews asking "how will we test this?" before a single line of code is written. You bring testing closer to development and make feedback loops shorter.
- Monitor, Observe, Debug. You have strong instincts around monitoring and observability. You know how to read logs, trace requests through distributed systems, and independently debug issues without waiting for someone to hand you a root cause.
- Operate Under Pressure. You context-switch across multiple projects without dropping the ball. You manage competing priorities, communicate tradeoffs clearly, and deliver consistently even when the pace is relentless.
- Influence and Collaborate. You work across product, engineering, and stakeholder teams. You're vocal — you raise risks early, challenge assumptions constructively, and bring people along with you rather than working in isolation.
What we’re looking for:
- 7+ years in QA, with a track record of owning quality across complex, modern systems — not just executing someone else's test plan.
- Deep programming ability. You are extremely strong in at least one language. We prefer TypeScript across our stack, but if your fundamentals are solid in another language, we're confident you'll pick it up fast.
- Automation expertise for microservices. You've built and scaled test automation for distributed, service-oriented architectures. You understand contract testing, API testing, and how to keep test suites fast and reliable.
- Performance testing proficiency. You have hands-on experience with performance and load testing tools — we prefer K6, but equivalent depth with other tools (Gatling, Locust, JMeter) works too. You understand how to design realistic load models and interpret results meaningfully.
- CI/CD fluency. You've integrated test automation into CI/CD pipelines and understand how to keep builds green and feedback fast. Experience with AWS infrastructure is strongly preferred.
- Monitoring and observability know-how. You're comfortable with tools like Datadog, Grafana, CloudWatch, or similar — and you use them proactively, not just when something is already on fire.
- Strong communication and presence. You participate fully in agile ceremonies, product discussions, and cross-team conversations. You don't sit quietly when something needs to be said.
Experience with AI & Agentic Systems
- Testing agentic AI systems, LLM-powered features, or recommendation engines where outputs are probabilistic rather than fixed.
- Designing validation strategies for non-deterministic behaviour — including output quality scoring, assurance testing, guardrail verification, and regression approaches that account for acceptable variance.
- Evaluating AI model outputs for accuracy, safety, bias, and hallucination.
Nice to Have
- Experience in fintech, wealth management, or regulated financial services.
- Contributions to internal quality guilds, communities of practice, or engineering culture initiatives.
- Experience mentoring junior QA engineers or developers on testing best practices.
What we’re really looking for: Beyond the skills and the experience, we want someone who operates with ownership and independence. You don't wait for permission to improve something. You see a gap in coverage, a flaky test, a missing dashboard — and you fix it. You treat the Wealth Management experience line as yours, and you hold yourself to the same standard you hold the product to. You're not a gatekeeper. You're a quality enabler. And you make every team you work with better at shipping reliable software.
Working Hours
Monday to Thursday: 9:00 AM – 6:00 PM
Friday: 8:00 AM – 4:00 PM (Start your weekend early!)
Enjoy a structured yet balanced workweek, with an early Friday finish to kickstart your weekend!
PERKS
- £60,000 - £70,000 per annum
- Discretionary Performance-Related Annual Bonus
- Workplace pension scheme - We invest in your future with a 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
- Free ChipX subscription for UK-based employees
- We are an equal-opportunity employer and value diversity
- 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.
- £30 per month Chip Fitness Benefit to suit your Mental/Physical Wellbeing
- Company laptop
- Opportunity to have a huge impact on our product while fast-tracking your knowledge, responsibility and skills in a high-growth fintech startup
Senior AI QA Engineer 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 Senior AI QA Engineer
✨Join Local Tech Meetups
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✨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
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We think you need these skills to ace Senior AI QA Engineer
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.