QA Engineer – AI Automation

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.

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.

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.

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.

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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