Quality Enablement AI Engineer
Contract Corp To Corp
6 Months
Argyll Infotech Inc
Fitment
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Job Details
Skills
- SDLC
- Application Development
- Reactjs
- MongoDB
- AI
- RAG
- MERN stack
- Google Vertex AI
- Quality Engineering
Summary
Job Title: Quality Enablement AI Engineer
Location: Chicago, IL (Hybrid Preferred)
Position Type: Contract
Duration: July 2026 December 2026
Experience Required: 7 10 Years
Number of Positions: 1
Position Type: Contract
Duration: July 2026 December 2026
Experience Required: 7 10 Years
Number of Positions: 1
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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 91139928
- Position Id: 2026-3008
- Posted 3 days ago
Company Info
About Argyll Infotech Inc
We are well-versed in a variety of operating systems, networks, and databases. We work with just about any technology that a small business would encounter. We use this expertise to help customers with small to mid-sized projects.
The world of technology can be fast-paced and scary. That's why our goal is to provide an experience that is tailored to your company's needs. No matter the budget, we pride ourselves on providing professional customer service. We guarantee you will be satisfied with our work.
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