AI-native QA Engineer [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI-native QA Engineer based in Australia.

This role is designed for a QA professional who goes beyond traditional testing and actively leverages AI to redefine how quality assurance is built and scaled. You will work in a fast-moving startup environment where experimentation, automation, and speed are central to delivery. The position focuses on building intelligent QA systems powered by LLMs to accelerate test creation, execution, and defect analysis. You will contribute directly to improving product reliability across complex AI-driven workflows and agent-based systems. Working closely with engineering, product, and R&D teams, you will ensure releases are robust, validated, and production-ready. This is a high-impact role where QA is not just validation but a core part of the AI development lifecycle.

Accountabilities:

In this role, you will design and evolve AI-powered QA systems that enhance automation coverage, improve defect detection, and strengthen release confidence across AI-driven products.

• Build and maintain AI-powered QA frameworks that automate test design, test execution, and validation workflows using LLM-assisted tools and modern automation stacks
• Develop automated test suites for functional, regression, integration, and performance testing across complex agent-based systems
• Use LLMs (such as GPT, Claude, and similar models) to accelerate test generation, bug analysis, and workflow validation
• Analyze defects and production incidents, identify root causes, and implement preventive testing strategies to reduce regressions
• Integrate automated testing pipelines into CI/CD workflows to ensure continuous quality validation
• Collaborate with engineering and product teams to define test strategies and ensure robust release validation
• Improve QA processes, expand test coverage, and enhance automation efficiency across evolving systems

Requirements:

The ideal candidate is a hands-on QA engineer with strong automation expertise and proven experience using AI tools in real testing workflows.

• 3+ years of QA experience, including at least 2+ years in test automation roles
• Proven hands-on experience using LLMs (GPT, Claude, Llama, or similar) in QA workflows and automation pipelines
• Strong programming skills in Python with expertise in PyTest and test automation frameworks
• Solid understanding of REST APIs, client-server architecture, and web service testing
• Experience working with SQL databases such as PostgreSQL or ClickHouse
• Familiarity with CI/CD pipelines and automated testing integration
• Strong analytical thinking and ability to work independently on complex systems and logic
• Ability to work aligned with EST time zone requirements

Benefits:

• Competitive compensation package aligned with experience
• Remote-first work environment
• 20 paid time off days plus U.S. holidays
• Access to a modern AI-driven technology stack
• High degree of autonomy and freedom to experiment with new tools and approaches
• Professional development and learning reimbursement support
• Fast-paced startup culture with strong engineering collaboration

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.