AI-native QA Engineer
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Key skills for this role
About the Role
Jobgether is seeking an AI-native QA Engineer to build intelligent QA systems powered by LLMs for a fast-moving startup. The role involves designing AI-powered QA frameworks, developing automated test suites, and integrating testing into CI/CD pipelines.
Key Skills for This Role
Responsibilities
- 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
- 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
Full Job Posting
Role Overview
- 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.
Accountabilities
- 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
- 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.
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