QA Engineer
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QA Engineer
$85–$120 / Hour
Location
Chicago, IL, USA
Experience
—
Posted
Jul 24, 2026
Apply by
August 24, 2026
Applicants
0
Early applicantEasy applyContractHybridquality-assurance
Job Description
We are looking for a senior, hands-on AI Applications Developer / QA Engineer to join an onshore contract team building AI-native platforms, agents, and applications. The role owns technical execution of AI integrations end-to-end on the MERN stack, with a strong emphasis on quality engineering to ensure robust, reliable AI deployments.
Key Responsibilities
- Build, test, and deploy production-grade applications end to end
- Design, build, and deploy AI-based platforms, applications, agents, and skills
- Lead AI model development and application design using Google Vertex AI
- Architect and develop Retrieval-Augmented Generation (RAG) pipelines
- Build EVALs frameworks to measure and ensure model performance and accuracy
- Design and build scalable integration platforms, APIs, and web services
- Manage the full software development life cycle from design through deployment
Requirements
- 14+ years of overall professional experience
- Proven expertise in the MERN stack (MongoDB, Express.js, React, Node.js)
- Strong knowledge of Python, TypeScript, JavaScript, and Java
- Experience with AI-native development tools (Cursor, GitHub Copilot, Claude Code, MCPs)
- Solid understanding of databases, application interfaces, and API design
- 5+ years with modern IDEs, Git/GitHub, npm/yarn, pip, maven/gradle, and Docker
- Quality Engineering background strongly preferred
Skills Required
ReactPythonDockerExpress.jsQuality EngineeringJavaTypeScriptNode.jsJavaScriptGoogle Vertex AIGitMongoDBRAG
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