QA Engineer - AI Native

🇩🇿 Up to EUR 20,000 per year, on a full-time, contractor contract 🌎 Fully remote working from anywhere in Algeria!  ✨ Exciting high growth product, relied on by leading global brands, particularly within sports   💻 Working with the latest hardware, AI tools, and product workflows.  ABOUT US Storyteller is a high-growth B2B SaaS platform that enables companies to add Stories experiences to their own apps and websites. Stories help our clients increase engagement, retention and revenue. Our platform combines SDKs, publishing tools, analytics and advertising support so enterprise customers can launch a complete Stories experience quickly. We work with major sports and media brands, and the experiences we power are used by large audiences around the world. About the Role This is an AI-native quality engineering role. You will use AI as a core part of how you investigate software, build automated tests, understand unfamiliar code, diagnose failures and make changes. Your work will span the quality of SDK behaviour and the integration between Storyteller SDKs, platform services and APIs. Storyteller has SDKs across iOS, Android, Web, tvOS, Fire TV, Android TV and Roku. The role will initially focus on iOS and Android, with opportunities to contribute across the wider SDK portfolio over time. This is a hands-on engineering role, but not a separate QA gatekeeping function: You’ll use AI coding agents and related tools to explore the SDK codebases, understand behaviour and accelerate quality work. You’ll care about tests that protect important behaviour and run in real development and release workflows. You’ll use product, technical, integration and release risk to identify the highest-value quality improvements. You will work as a senior individual contributor inside the Storyteller team. Quality belongs to the whole team, and you will work directly with builders and product owners throughout the product and engineering lifecycle. Success is measured by the confidence and useful evidence the work gives the team. RESPONSIBILITIES 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.  Where appropriate, follow a well-understood issue through to a bounded production fix.  Work with builders to improve testability and prevent repeated classes of defects.  Turn repeated investigation or testing work into reusable AI workflows, tools, checks or test assets.  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.  Contribute to tvOS, Android TV, Fire TV, Web and Roku as the role's scope expands.  What Good Looks Like  You will be succeeding when: Important SDK behaviours have dependable automated protection;  Useful quality improvements land incrementally and are easy for the team to adopt;  SDK-to-platform integration failures are detected early and are easy to diagnose; Tests run reliably in the workflows the team actually uses;  Test failures give the team enough information to act;  Well-understood defects are followed through to an appropriate fix or clear handover;  Repeated quality problems become better tests, tooling or product changes;  Automation and risk-based exploration provide evidence proportionate to the change;  Your communication makes quality risks and next actions easy to understand;  And the Storyteller team becomes more capable with AI because of practical workflows you have demonstrated through the work.  QUALIFICATIONS What we’re looking for AI-native execution – You use AI to do substantive technical work, not only to write or summarise. You can give an agent useful context, break down an ambiguous problem, inspect its work, redirect it when necessary and keep going when the first approach fails. Quality and validation judgment – You can decide what is worth testing, recognise superficial tests and demonstrate that an automated test provides real protection. You think about false confidence, false positives, brittle tests, maintainability and failure diagnosis. 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 work