C
Artificial Intelligence Engineer
CDW
2 hours ago
Full-time
On-site
Chicago, Illinois, United States
AI Platform Engineer (Full Stack / Kubernetes / AI Development Tools)
Lincolnshire, IL (Greater Chicago) – onsite 4 days per week
1 year contract – W2 only, No C2C
Please make an application promptly if you are a good match for this role due to high levels of interest.
CDW is seeking an
AI Platform Engineer
to help build and scale next-generation AI-powered applications and development platforms. This role is ideal for a strong
Full Stack Engineer
with hands-on
Kubernetes
experience and a passion for leveraging modern AI coding tools such as
Claude, Cursor, GitHub Copilot, Gemini, and OpenAI
to accelerate software delivery.
What You'll Do Design, develop, and deploy full-stack applications in cloud-native environments. Build and support AI-driven applications, agentic workflows, and AI development pipelines. Deploy and manage applications on Kubernetes (AKS preferred). Partner with engineering teams to review, remediate, and productionize AI-generated code. Improve CI/CD pipelines, infrastructure automation, and platform reliability. Implement secure authentication, authorization, and application security best practices. Identify and resolve issues related to AI-generated code quality, testing, and scalability.
Required Skills 2+ years of full-stack software development experience. Strong experience with
JavaScript/TypeScript ,
Python , and modern web frameworks (React, Angular, or Vue). Hands-on experience with
Kubernetes
and cloud-native application deployment. Experience building and consuming REST APIs. Knowledge of CI/CD, Infrastructure as Code, and DevOps practices. Experience using AI development tools such as
Claude Code, Cursor, GitHub Copilot, Gemini, or OpenAI
in a professional environment. Understanding of application security, automated testing, and production readiness.
Preferred Qualifications Experience building AI agents or agentic workflows. Experience with Azure, AKS, service mesh technologies, or API gateways. Knowledge of MCP servers, LLM integrations, or AI platform architecture. xsgimln Experience with observability and monitoring platforms.
Keywords:
#FullStackDeveloper #Kubernetes #AIEngineer #PlatformEngineer #DevOps #CloudEngineering #ClaudeAI #CursorAI #GitHubCopilot #Azure #AKS #TypeScript #Python #AgenticAI #LLM #CICD #CloudNative #ArtificialIntelligence #SoftwareEngineering #Hiring
Please make an application promptly if you are a good match for this role due to high levels of interest.
CDW is seeking an
AI Platform Engineer
to help build and scale next-generation AI-powered applications and development platforms. This role is ideal for a strong
Full Stack Engineer
with hands-on
Kubernetes
experience and a passion for leveraging modern AI coding tools such as
Claude, Cursor, GitHub Copilot, Gemini, and OpenAI
to accelerate software delivery.
What You'll Do Design, develop, and deploy full-stack applications in cloud-native environments. Build and support AI-driven applications, agentic workflows, and AI development pipelines. Deploy and manage applications on Kubernetes (AKS preferred). Partner with engineering teams to review, remediate, and productionize AI-generated code. Improve CI/CD pipelines, infrastructure automation, and platform reliability. Implement secure authentication, authorization, and application security best practices. Identify and resolve issues related to AI-generated code quality, testing, and scalability.
Required Skills 2+ years of full-stack software development experience. Strong experience with
JavaScript/TypeScript ,
Python , and modern web frameworks (React, Angular, or Vue). Hands-on experience with
Kubernetes
and cloud-native application deployment. Experience building and consuming REST APIs. Knowledge of CI/CD, Infrastructure as Code, and DevOps practices. Experience using AI development tools such as
Claude Code, Cursor, GitHub Copilot, Gemini, or OpenAI
in a professional environment. Understanding of application security, automated testing, and production readiness.
Preferred Qualifications Experience building AI agents or agentic workflows. Experience with Azure, AKS, service mesh technologies, or API gateways. Knowledge of MCP servers, LLM integrations, or AI platform architecture. xsgimln Experience with observability and monitoring platforms.
Keywords:
#FullStackDeveloper #Kubernetes #AIEngineer #PlatformEngineer #DevOps #CloudEngineering #ClaudeAI #CursorAI #GitHubCopilot #Azure #AKS #TypeScript #Python #AgenticAI #LLM #CICD #CloudNative #ArtificialIntelligence #SoftwareEngineering #Hiring