QA Engineer – AI Native

Storyteller

QA Engineer - AI Native working with tech and SDKs to ensure quality through AI tools. Contributing to quality improvements in a fast-growing B2B SaaS platform for global brands.

Posted 7/21/2026contractRemote • 🇪🇬 EgyptMid-LevelSenior💰 €20,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI-native execution and quality validation, with a strong focus on designing and maintaining automated tests for SDKs. Capable of clear communication and effective problem-solving in technical environments.

Highest-signal resume keywords

AI-Native ExecutionAutomated Test FrameworksQuality and Validation JudgmentClear CommunicationProblem Solving and Systems Thinking

ATS Keywords

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Hard Skills

Unit TestingIntegration TestingSDK DevelopmentAPI InteractionCI/CD WorkflowsBug InvestigationTest DesignCode AnalysisAutomated TestingTechnical Risk Assessment

Soft Skills

Clear CommunicationCuriosityOwnershipAgencyLearning Velocity

Tools & Technologies

SlackCommand-Line ToolsCI ToolsLogging ToolsAI Coding Agents

Industry Keywords

Quality AssuranceSoftware DevelopmentTest AutomationSDKTechnical Integration

About the role

Key responsibilities & impact

Use AI coding agents and related tools to explore the SDK codebases, understand behaviour and accelerate quality work.
Use product, technical, integration and release risk to identify the highest-value quality improvements.
Design, build and maintain useful unit and component tests for SDK behaviour.
Design, build and maintain integration tests covering SDK interaction with Storyteller services and APIs.
Put automated tests into active CI and release workflows, with failures that are clear and actionable.
Prove that tests detect meaningful breakage rather than merely producing passing output.
Investigate bugs using code, logs, APIs, test results and product behaviour.
Work with builders to improve testability and prevent repeated classes of defects.
Communicate clearly in Slack and other team systems: state the evidence, impact, current understanding, owner and next action.
Contribute useful AI-assisted engineering practices to the wider SDK team while remaining primarily accountable for quality outcomes.

Requirements

What you’ll need

AI-native execution – You use AI to do substantive technical work, not only to write or summarise.
Quality and validation judgment – You can decide what is worth testing, recognise superficial tests and demonstrate that an automated test provides real protection.
Agency and ownership – You can take an ambiguous quality risk, investigate it, gather evidence, choose a sensible next step and move the work towards a useful outcome.
Technical comfort – You are comfortable working with repositories, code, APIs, CI, logs, command-line tools and automated test frameworks.
Problem solving and systems thinking – You distinguish symptoms from root causes.
Clear communication – You communicate concisely and directly.
Learning velocity – You are curious and can become effective in unfamiliar products, codebases and tools quickly.

Benefits

Comp & perks

Fully remote working from anywhere in Egypt!