Mid-Senior AI Engineer - Qe Skilled

Role: Mid-Senior AI Engineer - QE Skilled
Location: Onsite Chicago 2 days/week
Visa : USC/GC/GC EAD /H4EAD

Responsibilities:
The MERN Stack & Full SDLC: Active, full-lifecycle application development using MongoDB, Express, React, and Node.js (or TypeScript/JavaScript variants), backed by 5+ years of deep familiarity with enterprise dev tools (Docker, Git, VS Code, npm/pip).
Vertex AI & RAG Architecture: Demonstrated experience building AI capabilities, engineering agent behaviors, and defining pipelines specifically within the Google Cloud (GCP) Vertex AI ecosystem. Experience with equivalent AI services on other major cloud platforms (AWS, Azure) is an acceptable alternative.
Core Backend & API Engineering: Robust knowledge of Python alongside a secondary familiarity with enterprise environments like Java to build highly integrated APIs, databases, and web services.
QE Pedigree: Demonstrable experience in an active QE role with a deep, foundational understanding of modern QE concepts, automation practices, and testing methodologies is highly valued. Prior experience with automation tools like Playwright or Cypress.io is a plus.

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