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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