Senior AI QA Engineer

About the role

Join Chip, a fast-growing fintech company, as a Senior AI QA Engineer. In this role, you will own the quality strategy for our Wealth Management business line, drive automation, lead performance testing, and champion shift-left practices. You will work across product, engineering, and stakeholder teams, and have a strong impact on the quality of our products. Enjoy a flexible working environment, unlimited holiday, and a range of benefits. Key missions: Own the Quality Strategy by defining and executing the test strategy for every new product and feature across the Wealth Management business line.. Drive Automation Where It Matters by building and maintaining automation frameworks for microservices, APIs, and end-to-end flows, making your team self-sufficient.. Lead Performance Testing by owning performance testing end to end, designing load profiles, scripting scenarios, analyzing results, and working with engineering to fix what you find. Profile: - 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 - 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 - 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 - 7+ years in QA, with a track record of owning quality across complex, modern systems — not just executing someone else's test plan - 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 - 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 - As Chip evolves its product with AI-driven personalisation and intelligent automation, we increasingly value QA engineers who understand the unique challenges of testing non-deterministic systems. Experience in any of the following is a strong plus: - Testing agentic AI systems, LLM-powered features, or recommendation engines where outputs are probabilistic rather than fixed - Evaluating AI model outputs for accuracy, safety, bias, and hallucination - Designing validation strategies for non-deterministic behaviour — including output quality scoring, assurance testing, guardrail verification, and regression approaches that account for acceptable variance - If you haven't worked with AI systems yet but you're curious, opinionated, and ready to learn — that matters to us too - 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 - 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