Deeplight
Technology
AITester
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“AI Tester at Deeplight”
Industry & Context.
Full Job Description
DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations. At DeepLight, we don't believe in "off-the-shelf" fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world. The AI Tester is a specialized, senior-level quality engineering position within the Testing work pillar. This role is responsible for driving end-to-end quality assurance, test automation strategy, and advanced validation frameworks across complex web interfaces, microservice APIs, and cutting-edge, AI-driven systems. Operating at the intersection of traditional software testing and advanced machine learning engineering, this position focuses heavily on validating distributed backend architectures, streaming data workflows, and Generative AI/LLM outputs to ensure exceptional systemic reliability, accuracy, and performance. ### Your responsibilities as the AI Tester include: * Designing, building, and maintaining scalable, robust end-to-end automation frameworks from scratch, utilizing Playwright as the primary automation engine across web interfaces. * Authoring and executing comprehensive API testing suites to validate distributed microservices, ensuring strict data integrity, state consistency, and schema compliance. * Designing validation strategies for asynchronous, event-driven data architectures, tracking messages and auditing system behaviors across Kafka-based streaming pipelines. * Establishing speci
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