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Improvado

Improvado

via Jazzhr

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AI-native QA Engineer

Anywhere
Full-time
Posted 6/10/2026
Direct Apply
Key Skills:
Python
PyTest
SQL
REST APIs
AI-based Testing Frameworks
LLMs

Compensation

Salary Range

$70K - 120K a year

Responsibilities

Build and maintain AI-powered testing frameworks and pipelines to automate QA workflows and perform comprehensive testing across agent workflows.

Requirements

3+ years QA experience with 2+ years automation, hands-on AI-based QA pipeline building using LLMs, proficiency in Python, PyTest, SQL, REST APIs, and ability to work EST timezone.

Full Description

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

This job posting was last updated on 6/17/2026

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