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Quality Enablement AI Engineer

Job

TEKEngineersInc

Chicago, IL (In Person)

Full-Time

Posted 4 days ago (Updated 1 day ago) • Actively hiring

Expires 7/15/2026

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Job Description

Job Title:
Quality Enablement AI Engineer
Location:
Chicago, IL (Onsite)
Job Description:
Position Type:
Contract Location:
Onshore (US-based) - Preferably Hybrid in
Chicago, IL Experience Level:
7 - 10 Years (Mid Level)
Role Overview:
We are seeking a skilled and hands-on AI Applications Developer to join our team as an onshore contractor. In this role, you will focus on developing cutting-edge AI-based platforms, agents, and applications. The ideal candidate will have a strong foundation in full-lifecycle software engineering, proven application development and deployment experience, and deep familiarity with AI-native development workflows. We are specifically looking for a mid-level professional (7-10 years of experience) who is comfortable driving the technical execution of AI integrations from end to end using the MERN stack and other modern technologies. A candidate with a Quality Engineering (QE) background is highly preferred to ensure robustness and reliability in our AI deployments.
Key Responsibilities:
Application Development & Deployment:
Apply proven, hands-on experience in building, testing, and deploying robust applications to production environments.
AI Application Integration:
Design, build, and deploy AI-based platforms, applications, agents, and skills.
Vertex AI Integration:
Lead AI model development and application design leveraging Google Vertex AI.
RAG & EVALs Implementation:
Architect and develop Retrieval-Augmented Generation (RAG) pipelines and build comprehensive EVALs frameworks to measure and ensure model performance and accuracy.
API & Integration Architecture:
Apply advanced knowledge to design and build scalable integration platforms, APIs, and web services.
Full SDLC Execution:
Manage the complete software development life cycle (SDLC) from initial design and build through comprehensive testing to final production deployment.
Required Qualifications & Skills Core Tech Stack:
Proven expertise in the MERN stack (MongoDB, Express.js, React, Node.js).
Programming Languages:
Solid technical knowledge of high-level programming languages including Python, TypeScript, JavaScript, and Java.
AI-Native Development:
Proven experience utilizing AI native development tools to accelerate workflows (e.g., Cursor, GitHub Copilot, Claude Code, and MCPs).
Systems Architecture:
Solid understanding of databases, application interfaces, and various application program development alternatives. Development Tools (5+ Years Experience): Proficient with modern IDEs (VS Code, JetBrains). Version control systems (Git, GitHub). Package management (npm/yarn, pip, maven/gradle). Containerization (Docker).
Preferred Qualifications:
Quality Engineering (QE)
Background:
Strong preference will be given to candidates with previous experience in QE, demonstrating a rigorous approach to testing, validation, and system reliability within the SDLC.