QA Engineer – AI Automation

Job Title: QA Engineer – AI Automation

About Assembly Industries

Assembly Industries is The Workforce Modernization Company. For fifty years, software — the single greatest lever for business efficiency and productivity — has been gated behind two doors: buy it from a vendor, or hire an engineering team to build it. Coding agents have fundamentally changed that. Our mission is to make every employee a builder: we convert often non-technical subject-matter experts into prolific builders of software through training, a platform to execute on, and a partner standing beside them every day after launch.

Assembly Platform is our end-to-end application lifecycle platform — from problem discovery and requirements through architecture, production deployment with IT, adoption, and ongoing maintenance. The prototype is just the tip of the iceberg; Assembly Platform and our team handle everything below the waterline. Our vision is to help existing businesses build their own software operating system from the inside out.

Role Overview

As a QA Engineer, you will be responsible for ensuring the reliability, performance, and scalability of our AI-powered automation products. You will own the end-to-end quality assurance process—designing and executing test strategies, building automated test frameworks, and pioneering the use of AI-driven QA approaches across multiple products.

This role is perfect for someone with a strong software engineering background who is passionate about quality, eager to explore cutting-edge QA technologies, and thrives in the fast-paced environment of a startup.

What You’ll Do (Key Responsibilities)

Test Strategy & Planning

• Define and execute comprehensive QA strategies for AI automation products.
• Collaborate with Engineering, Product, and Solution Enablement teams to translate requirements into robust test plans.
• Identify potential edge cases, failure points, and system-level risks early in the development lifecycle.

Automation Development

• Design and implement automated test suites (unit, integration, regression, performance, end-to-end).
• Write test automation in Python/JavaScript and integrate into CI/CD pipelines.
• Build reusable test frameworks that scale across multiple products and teams.

AI-Powered QA & Innovation

• Research, evaluate, and implement AI-driven QA tools and methodologies.
• Apply AI to test generation, anomaly detection, log analysis, and continuous validation.
• Champion best practices for AI-enabled QA within the company.

Cross-Functional Collaboration

• Partner with engineers to ensure test coverage and quality gates are embedded in the development process.
• Work closely with Product to define acceptance criteria and verify business-critical workflows.
• Proactively communicate quality status, risks, and improvements to leadership.

Continuous Improvement

• Drive a culture of quality and reliability across the organization.
• Document test cases, frameworks, and QA processes for knowledge sharing.
• Stay ahead of emerging QA automation trends, tools, and AI technologies.

A Day in the Life

Morning

• Review overnight CI/CD test runs, investigate failures, and triage issues.
• Meet with Engineering to discuss new feature test coverage.

Late Morning

• Develop automated test scripts for a new API integration.
• Explore an AI-based tool for generating synthetic test data.

Afternoon

• Run end-to-end validation on a new customer-facing automation workflow.
• Host a short sync with Product to clarify acceptance criteria.

End of Day

• Document reusable test patterns.
• Research the latest in AI-assisted QA frameworks and propose experiments.

Required Experience (Key Skills & Qualifications)

Technical

• 3+ years of experience in QA, software engineering, or test automation.
• Strong programming skills in Python and/or JavaScript.
• Solid understanding of APIs, system integrations, and test automation frameworks.
• Experience with CI/CD systems (e.g., GitHub Actions, Jenkins, GitLab CI).
• Familiarity with AI/ML-driven testing tools (or strong desire to learn and implement).

Analytical & Collaborative

• Strong problem-solving skills and ability to break down complex systems into testable components.
• Excellent communication skills—able to partner with engineers, product managers, and non-technical stakeholders.
• Detail-oriented and relentless about ensuring product quality.

Mindset

• Self-motivated, resourceful, and curious about new technologies.
• Comfortable working in a dynamic startup environment.
• Passionate about automation, AI, and building high-quality software.

This is a remote position based out of Pakistan.

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