Quality Assurance Engineer

Overview

Our client is an AI-powered technology company building and deploying intelligent systems that help enterprises and public sector institutions modernize operations, improve decision-making, and scale efficiently. Operating at the intersection of applied research, advanced analytics, and software engineering, they deliver AI-driven platforms across finance, healthcare, and government — with a sharp focus on translating emerging technology into production-ready solutions that deliver measurable impact.

They are currently building a fraud detection product and expanding their AI platform portfolio. This is an early-stage start up environment where the people they hire will shape not just what they build, but how they build it.

About the Role

We are looking for a Quality Assurance Engineer to own the quality function. This is a founding QA role - you will be setting the standards, building the frameworks, and ensuring that the AI-driven products we ship are reliable, secure, and production-ready.

We need someone who thinks deeply about quality, builds automation from the ground up, and is comfortable working closely with engineers and product teams in a fast-moving, high-stakes environment.

Responsibilities

QA Strategy & Ownership

Define and own the QA strategy across the company's product suite, starting with the fraud detection platform.

Establish quality standards, testing frameworks, and processes that scale as the product portfolio grows

Advocate for quality at every stage of the development lifecycle — from requirements through to production deployment

Test Automation

Design, build, and maintain robust automated test suites (functional, regression, integration, end-to-end)

Build automation infrastructure from scratch, selecting the right tools and frameworks for the tech stack

Ensure continuous testing is embedded in CI/CD pipelines

AI & API Quality

Develop testing strategies for AI/ML model outputs — including accuracy validation, edge case handling, bias detection, and performance benchmarking

Design and execute API testing frameworks to validate data flows, integrations, and system reliability

Define data quality standards for the inputs and outputs that feed the company's AI systems

Fraud Detection Product QA

Lead end-to-end testing of the fraud detection product across functional, performance, security, and edge-case scenarios...