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.
Senior AI QA Engineer at Chip Financial Ltd
Chip Financial Ltd is building the UK's investment super app, and they need a Senior AI QA Engineer to define the quality standards for their AI-driven future. Trusted by 500,000 users, Chip is moving beyond standard automation to tackle the complexities of non-deterministic LLM systems. You’ll own the entire quality strategy—from performance testing with K6 to architecting TypeScript automation frameworks on AWS. If you thrive on ownership and the challenge of testing agentic AI within a regulated fintech environment, this high-impact role in Shoreditch offers the perfect blend of technical depth and market-moving scale.
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Location
London, United Kingdom
Compensation
£60k-£70k
Company
Chip Financial Ltd
Role overview
Chip Financial Ltd is a UK-based fintech company operating a mobile app that enables users to save and invest money. It offers savings accounts with competitive rates and prize draws, Stocks and Shares ISA, General Investment Account (GIA), and access to over 40 curated investment funds from major asset managers. Founded in 2016, it is authorised and regulated by the Financial Conduct Authority (FCA) under Firm Reference Number 911255, headquartered in London, and serves over 500,000 registered users with a team of approximately 150 people.
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.
Who this is a fit for
- 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.
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.
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