AI-native 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.
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
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.
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