
Quality Assurance Automation Engineer
1 day ago
We’re looking for someone who loves combining technical skills with problem-solving to keep our data and AI products performing at their best. In this role, you’ll work on test automation - checking, flagging, and safeguarding the quality of large-scale unstructured web crawling, document parsing, GenAI, and agentic solutions - while also helping improve how we work. It’s a great fit if you enjoy switching between detailed testing and big-picture thinking. At least 3 years of experience working with large set of data and QA automation.
About Forage AI: Forage AI is a pioneering AI-powered data extraction and automation company that transforms complex, unstructured web and document data into clean, structured intelligence. Our platform combines web crawling, NLP, LLMs, and agentic AI to deliver highly accurate firmographic and enterprise insights across numerous domains. Trusted by global clients in finance, real estate, and healthcare, Forage AI enables businesses to automate workflows, reduce manual rework, and access high-quality data at scale.
What you’ll do
- Collaborate closely with data operations and engineering teams to align test plans with client requirements
- Design, develop, and maintain automated test scripts using Selenium, HTML, JavaScript, N8N, and Python
- Build and run regression test suites to ensure stability and reliability across datasets
- Design and execute evals for GenAI-powered solutions to measure accuracy, consistency, and edge-case handling
- Provide clear, concise feedback to stakeholders, bridging the gap between technical and non-technical teams
- Identify, document, and track bugs or inconsistencies, ensuring timely resolution
- Support operational workflows by validating data quality and system performance
What we’re looking for
- Relentlessly detail-oriented, with a deep commitment to raising the bar in QA and operations
- Excellent communication skills - able to translate complex findings into actionable insights and act as the bridge between QA and Dev teams
- Strong hands-on experience with Selenium, HTML, JavaScript, XPath, and Python
- Solid understanding of databases, including querying and interacting with them effectively
- At least 3 years of experience working with data and/or QA automation.
- Experience collaborating with developers to integrate, orchestrate, and maintain automated QA scripts within the development workflow
- Experience testing AI/GenAI solutions (prompt testing, output validation, error detection)
- Strong foundation in QA principles, automation frameworks, and test case design
- Analytical thinker with the ability to spot patterns and edge cases in large datasets
- Comfortable working in fast-paced, dynamic environments with evolving requirements
Nice to have
- Experience with VBA / Apps Script
- Exposure to AWS systems like S3, DynamoDB, or MongoDB
Other Infrastructure Requirements
Since this is a fully remote position, you will also need:
- High-speed internet connectivity for video calls and efficient work
- A capable business-grade computer (e.g., modern processor, 8GB+ RAM)
- A dedicated home workspace for uninterrupted and efficient work
- Headphones with clear audio quality
- Stable power connection with backup options in case of internet/power outages
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