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. Originally posted on Himalayas