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Quality Enablement AI Engineer

Code Tech Inc

 

Chicago, IL, USA

Posted On: 12 days ago
Experience: 10+ years
Availability: Hybrid
Openings: 1
Category: AI ENGINEER
Tenure: Contract - W2
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Description

You will build and deploy AI-native applications and quality enablement platforms, owning the full SDLC from design to production.

This role is hybrid.

Responsibilities

  • Design and deploy AI-based platforms, agents, and skills using Google Vertex AI.
  • Architect Retrieval-Augmented Generation (RAG) pipelines and build EVALs frameworks to measure model accuracy.
  • Develop scalable integration platforms, APIs, and web services using the MERN stack.
  • Manage the complete software development life cycle, including rigorous testing and validation.

Required Skills

  • 10+ years of experience in software development and system architecture.
  • Expertise in the MERN stack: MongoDB, Express.js, React, Node.js.
  • Proficiency in Python, TypeScript, JavaScript, and Java.
  • Experience with AI-native development tools (Cursor, GitHub Copilot, Claude Code, MCPs).
  • Strong knowledge of containerization (Docker), Git/GitHub, and modern IDEs.
  • Proven track record of deploying robust applications to production environments.

Preferred Skills

  • Background in Quality Engineering (QE) with a focus on testing, validation, and system reliability.

Education

Bachelor's degree

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