Job Title
Senior AI QA Engineer
Salary
£60,000-£70,000
Company Description
Chip Financial Ltd is an FCA-regulated high-growth fintech building the UK’s premier investment super app for over 500,000 users. Focused on AI-driven wealth management, the company is scaling its platform to offer intelligent, personalized financial tools within a robust, distributed microservices architecture on AWS.
Job Description
Join Chip Financial Ltd to lead quality for our AI-driven wealth management platform. You will own the strategy for non-deterministic, LLM-powered features, building automation frameworks and performance testing suites across a TypeScript microservices architecture. This is a high-impact role for an engineer who excels at shifting quality left in a fast-paced environment.
Location
London, UK
Why this role is remarkable
- Lead the quality strategy for a cutting-edge investment super app, moving beyond traditional test cases to shape how a regulated fintech delivers AI-driven personalization.
- Tackle unique engineering challenges by validating non-deterministic agentic systems, managing LLM hallucinations, and ensuring safety in a probabilistic wealth management environment.
- Join a high-traction, FCA-regulated scale-up with 500k+ users and a fast-moving culture that rewards ownership, independence, and an early Friday finish.
What You Will Do
- Define and execute the end-to-end quality strategy for the Wealth Management business line, embedding testing early in the architecture and product design phases.
- Architect and scale automated testing frameworks for TypeScript microservices and APIs on AWS, enabling developer self-sufficiency and maintaining high-velocity CI/CD pipelines.
- Own performance testing using tools like K6 to design realistic load models, analyze results, and partner with engineering to optimize distributed system reliability.
The ideal candidate
- Brings over 7 years of QA experience with a track record of owning quality strategy for complex, modern service-oriented architectures rather than just executing plans.
- Possesses deep technical proficiency in TypeScript or a similar language, with hands-on experience building automated test suites for distributed microservices and AWS infrastructure.
- Demonstrates a strong understanding of testing AI systems, including validation strategies for non-deterministic outputs, output quality scoring, and proactive observability using tools like Datadog.
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