QA Engineer

QA Engineer – AI-Assisted Testing

We're a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.

AI-native QA Engineer

Responsibilities

• Build AI-based testing frameworks and pipelines that automate the full QA workflow: design test strategies, develop automated tests, create and execute test plans, perform different types of testing across workflows, and analyze defects—all powered by LLM tools and modern AI frameworks
• Perform functional, regression, integration, and load testing across agent workflows
• Analyze defects and incidents, identify root causes, and help prevent regressions
• Collaborate closely with developers, product managers, and R&D on release validation
• Contribute to improving QA processes, test coverage, and automation practices

Requirements

• 3+ years of QA experience, with 2+ years in QA automation
• Active hands-on usage of LLMs (GPT, Claude, Llama, etc.) in your QA workflows—not just interest, but real experience in building AI based QA pipelines
• Strong Python and PyTest skills
• Hands-on experience with SQL (PostgreSQL, ClickHouse)
• Solid understanding of REST APIs, client-server architecture, and web services
• Experience creating and maintaining automated test suites in CI/CD pipelines
• Ability to work independently with complex business logic
• Ability to work in EST timezone

Nice to Have

• Experience testing data pipelines or integration workflows
• Startup experience

What We Offer

• Remote-first environment
• 20 PTO days + U.S. holidays
• Modern AI tech stack and freedom to experiment
• Extremely fun & open startup environment
• Professional development reimbursement