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- Tasks: Own quality across Wealth Management, from strategy to execution, and drive automation.
- Company: Join Chip, a fintech innovator 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 practices.
- Qualifications: 7+ years in QA, strong programming skills, and experience with AI systems preferred.
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’re 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 employer: Chip UK
Contact Detail:
Chip UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI QA Engineer
✨Tip Number 1
Get to know the company inside out! Research Chip's mission, values, and recent projects. This way, when you chat with them, you can show off your knowledge and passion for what they do.
✨Tip Number 2
Practice makes perfect! Prepare for common interview questions related to QA and AI. Think about how your experience aligns with their needs, especially around automation and performance testing.
✨Tip Number 3
Show your problem-solving skills in action! During interviews, be ready to discuss specific challenges you've faced in QA and how you tackled them. Real examples will make you stand out.
✨Tip Number 4
Don’t forget to follow up! After your interviews, send a thank-you note expressing your appreciation for the opportunity. It’s a great way to keep the conversation going and show your enthusiasm for the role.
We think you need these skills to ace Senior AI QA Engineer
Some tips for your application 🫡
Show Your Ownership: When you write your application, make sure to highlight how you've taken ownership of quality in your previous roles. We love candidates who don’t wait for permission to improve processes or fix issues!
Be Specific About Your Skills: Don’t just list your skills; give us examples of how you've used them in real-world scenarios. Whether it's automation frameworks or performance testing, we want to see how you’ve made an impact.
Emphasise Collaboration: Since this role involves working across teams, share experiences where you’ve collaborated with product and engineering teams. Show us how you raised risks early and influenced decisions!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Chip UK
✨Know Your Quality Strategy
Before the interview, make sure you can articulate your approach to owning quality across complex systems. Be ready to discuss how you've defined and executed test strategies in previous roles, especially in fintech or similar environments.
✨Showcase Your Automation Skills
Prepare examples of automation frameworks you've built or maintained, particularly for microservices and APIs. Highlight your experience with CI/CD pipelines and how you've integrated test automation into them.
✨Demonstrate Performance Testing Proficiency
Be ready to talk about your experience with performance testing tools like K6 or JMeter. Discuss specific scenarios where you've designed load profiles and collaborated with engineering teams to resolve issues.
✨Emphasise Collaboration and Communication
Since this role involves working across various teams, prepare to share examples of how you've influenced product discussions and raised risks early. Show that you can communicate effectively in agile ceremonies and cross-team conversations.