Quality Enablement AI Engineer - Chicago, IL

Job Title: Quality Enablement AI Engineer

Location: Chicago, IL (Hybrid Preferred)
Position Type: Contract
Duration: July 2026 – December 2026
Experience Required: 10+  Years
Visa: GC, USC

Share your Resume at nagendra@argyllinfotech.com

Overview

We are seeking a talented and hands-on Quality Enablement AI Engineer to join our team as an onshore contractor. This role is ideal for a mid-level professional with strong software engineering expertise and practical experience building, deploying, and supporting AI-powered applications. The selected candidate will play a key role in developing AI-driven platforms, intelligent agents, and enterprise applications while ensuring high standards of quality, reliability, and performance.

The ideal candidate will have a strong foundation in full-stack development, AI-native development practices, cloud-based AI services, and modern software delivery methodologies. Candidates with a background in Quality Engineering (QE) are highly preferred.

Key Responsibilities

AI Application Development

• Design, develop, and deploy AI-powered applications, platforms, intelligent agents, and AI skills.
• Build scalable and production-ready AI solutions that address business needs and improve operational efficiency.

Vertex AI & Generative AI Solutions

• Develop and integrate AI solutions leveraging Google Vertex AI.
• Collaborate with stakeholders to design AI-driven workflows and applications.

RAG & Model Evaluation Frameworks

• Architect and implement Retrieval-Augmented Generation (RAG) solutions.
• Develop and maintain comprehensive Evaluation (EVALs) frameworks to assess model performance, accuracy, reliability, and business impact.

Full-Stack Development

• Build and maintain applications using the MERN Stack (MongoDB, Express.js, React, Node.js).
• Develop scalable APIs, web services, and integration platforms to support enterprise AI initiatives.

Software Development Lifecycle (SDLC)

• Participate in all phases of the SDLC, including requirements gathering, design, development, testing, deployment, and post-production support.
• Ensure applications meet quality, security, and performance standards.

Quality & Reliability Engineering

• Apply quality engineering best practices to ensure robustness, maintainability, and reliability of AI-enabled applications.
• Create testing strategies and validation processes for AI models and application components.

Required Qualifications

• 7–10 years of experience in software engineering and application development.
• Strong expertise with the MERN Stack:
• MongoDB
• Express.js
• React.js
• Node.js
• Proficiency in:
• Python
• TypeScript
• JavaScript
• Java
• Experience designing and deploying scalable APIs, integrations, and web services.
• Hands-on experience building and deploying production-grade applications.
• Strong understanding of databases, system architecture, interfaces, and application development methodologies.

AI & Modern Development Experience

• Experience with AI-native development tools and workflows, including:
• Cursor
• GitHub Copilot
• Claude Code
• MCPs (Model Context Protocols)
• Practical experience developing and integrating Generative AI solutions.
• Experience implementing RAG architectures and AI evaluation frameworks.

Development Tools & Technologies

Minimum 5 years of experience working with:

• IDEs: VS Code, JetBrains Suite
• Version Control: Git, GitHub
• Package Managers: npm, yarn, pip, Maven, Gradle
• Containerization: Docker

Preferred Qualifications

• Previous experience in Quality Engineering (QE), Software Testing, or Test Automation.
• Strong understanding of software quality practices, validation frameworks, and test strategies.
• Experience ensuring reliability, scalability, and performance of AI-powered applications in production environments.

Why Join Us?

This opportunity offers the chance to work on cutting-edge AI initiatives, build enterprise-scale intelligent applications, and contribute to the future of AI-enabled software delivery while collaborating with highly skilled engineering teams.

Must-Have Skills

• Google Vertex AI
• Generative AI Development
• RAG (Retrieval-Augmented Generation)
• AI EVALs Frameworks
• MERN Stack
• Python
• TypeScript
• Docker
• Git/GitHub
• API Development

Preferred Skills

• Quality Engineering (QE)
• Test Automation
• AI Model Validation
• Cloud-based AI Platforms
• Enterprise Application Architecture

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