At a Glance
- Tasks: Own quality across Wealth Management, from strategy to execution, and drive automation.
- Company: Join Chip, a leading fintech on a mission to build the wealth super app of the future.
- Benefits: Enjoy a competitive salary, performance bonuses, private medical insurance, and 28 days holiday.
- Other info: Flexible working hours with an early finish on Fridays and opportunities for professional development.
- Why this job: Make a real impact in a high-growth fintech while shaping quality standards.
- Qualifications: 7+ years in QA, strong programming skills, and experience with automation and performance testing.
The predicted salary is between 60000 - 70000 £ per year.
We are looking for a Senior AI QA Engineer who doesn’t wait to be told what to test. You will own quality across our Wealth Management experience — from strategy to execution, from microservices to the UI your customers touch. This role shapes how quality works, pushes automation to developers, and advocates shift-left while maintaining high standards under pressure.
You will be the quality voice in product discussions, architecture reviews, and incident retrospectives. When something breaks, you’re already halfway through debugging it. When a new product launches, you’ve already stress-tested it.
Responsibilities
- Own the Quality Strategy: Define and execute the test strategy for every new product and feature across the Wealth Management business line. Build and adapt plans to real-world conditions.
- Drive Automation Where It Matters: Build and maintain automation frameworks for microservices, APIs, and end-to-end flows. Enable team self-sufficiency for regressions.
- Lead Performance Testing: Own performance testing end-to-end — design load profiles, script scenarios, analyze results, and collaborate with engineering to fix issues.
- Champion Shift-Left Practices: Embed quality thinking early in the development lifecycle. Ask how to test in design reviews and shorten feedback loops.
- Monitor, Observe, Debug: Read logs, trace requests in distributed systems, and independently debug issues without waiting for a root-cause handoff.
- Operate Under Pressure: Manage multiple projects, communicate tradeoffs clearly, and deliver consistently under high pace.
- Influence and Collaborate: Work across product, engineering, and stakeholder teams; raise risks early and bring teams along.
Qualifications
- 7+ years in QA with a track record of owning quality across complex, modern systems.
- Deep programming ability with strong skills in at least one language; preference for TypeScript, with ability to pick up other languages quickly.
- Automation expertise for microservices, with experience in contract testing, API testing, and keeping test suites fast and reliable.
- Performance testing proficiency with tools such as K6, Gatling, Locust, or JMeter and ability to design realistic load models.
- CI/CD fluency; experience integrating test automation into pipelines; AWS infrastructure experience preferred.
- Monitoring and observability know-how with tools like Datadog, Grafana, CloudWatch, etc.
- Strong communication and presence in agile ceremonies, product discussions, and cross-team conversations.
Experience with AI & Agentic Systems
- Experience testing AI-driven or non-deterministic systems is valued. Strong plus if you have:
- Testing agentic AI systems, LLM-powered features, or recommendation engines with probabilistic outputs.
- Designing validation strategies for non-deterministic behaviour, including output quality scoring and guardrail verification.
- Evaluating AI model outputs for accuracy, safety, bias, and hallucination.
If you haven’t worked with AI yet but are curious and eager to learn, that matters to us too.
Nice to Have
- Experience in fintech, wealth management, or regulated financial services.
- Contributions to internal quality guilds 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 experience, we want ownership and independence. You don’t wait for permission to improve something. You fix gaps in coverage, flaky tests, or missing dashboards. You treat the Wealth Management experience line as yours and hold yourself to the same standard as the product.
You’re a quality enabler who helps teams ship reliable software.
Working Hours
Monday to Thursday: 9:00 AM – 6:00 PM
Friday: 8:00 AM – 4:00 PM
Enjoy a structured yet balanced workweek with an early Friday finish to kickstart your weekend.
Perks
- Salary: £60,000 - £70,000 per annum
- Discretionary performance-related annual bonus
- Workplace pension scheme (5% on earnings up to £50,000)
- Private medical insurance and Employee Assistance Programme
- Cycle to work, season ticket loan, and other wellbeing benefits
- Free ChipX subscription for UK-based employees
- 28 days holiday plus bank holidays, plus days between Christmas and New Year
- Annual training budget for courses, workshops, or conferences
- Company laptop
- Opportunity to have a huge impact in a high-growth fintech
Interview Process
- Video screen with Talent team
- Short take-home test
- Video technical interview with the hiring manager
- Final interview with Head of AI
About Chip
Chip’s mission is to make your life wealthy. We are building the wealth super app of the future to manage, grow and protect wealth. Chip serves over 400,000 active customers and looks after over £6 billion in assets.
Our values are: Be ACCOUNTABLE, Be BOLD, Be COLLABORATIVE. We are an equal-opportunity employer and value diversity. We encourage applications from all backgrounds.
Note to Agencies
Chip does not accept unsolicited CVs from recruiters or employment agencies in response to any of our live roles on our career page. Chip reserves the right to hire without any financial obligation to recruiters for unsolicited CVs.
Senior AI QA Engineer in England 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 in England
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
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We think you need these skills to ace Senior AI QA Engineer in England
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.
