QA Engineer – AI Automation

Talent is distributed but Opportunities are not – Assembly Industries is breaking that pattern by building an AI-enabled talent platform that connects top-tier, highly skilled global professionals with innovative companies across the US. As a fast-growing startup, we are laser-focused on impactful growth, agile strategies, and exceptional results. 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)

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). 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. 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 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. 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. We are an equal opportunity employer and welcome applications from diverse candidates.

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