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Quality Enablement AI Engineer
Job Location:
Job Location:
Chicago, IL - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
13 June 2026 (30+ days ago)
Posted:
Application Deadline:
10 September 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Quality Enablement AI Engineer
Position Type: Contract Location: Onshore (US-based)
Preferably Hybrid in Chicago IL
Experience Level: 7 10 Years (Mid Level)
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 React ).
- 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.
Donato Technologies Inc. is a trusted IT staffing consulting and software development partner headquartered in Dallas Texas. We support clients across industries by understanding their unique business needs and delivering tailored technology and workforce solutions. Our focus is on connecting the right talent with the right opportunity-ensuring clients receive dependable skilled professionals and candidates receive meaningful career growth and support. We work closely with small to mid-sized organizations to provide flexible high-quality services that drive performance innovation and long-term success.
