AI-native QA Engineer
TLDR
Develop AI-powered QA systems using LLMs to accelerate test generation, execution, and defect analysis across AI-driven products.
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
- 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
- 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
Requirements:
The ideal candidate is a hands-on QA engineer with strong automation expertise and proven experience using AI tools in real testing workflows.
Benefits:
Benefits
Learning Budget
Professional development and learning reimbursement support
Paid Time Off
20 paid time off days plus U.S. holidays
Remote-Friendly
Remote-first work environment
Jobgether runs the largest remote job platform, effectively linking job seekers with over 200,000 flexible and remote opportunities that match their unique skills and preferences. Our focus is on enhancing the hiring process, ensuring efficiency while prioritizing the candidate experience, particularly in the growing health and wellness sector.
- Founded
- Founded 2020
- Employees
- 11-50 employees
- Industry
- Professional Services