AI-native QA Engineer

We're looking for an AI-native QA Engineer with 3+ years of experience who will automate the workflow using modern AI frameworks and tools like Codex and Claude. You'll leverage LLMs to speed up testing, bug analysis, and test generation while maintaining rigor through architecture, documentation, and proper validation. You'll help us scale our AI Agent and platform with confidence—automating what matters, catching what counts, and using AI as a core part of how you work.

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