Artificial Intelligence Engineer

CDW; Chicago (IL); On-site; USD 120,000 - 170,000; Full time

Job summary

CDW in Illinois seeks an AI Platform Engineer to design and scale AI-powered applications and development platforms. This role suits a strong Full Stack Engineer with hands-on Kubernetes experience and a passion for modern AI coding tools to accelerate software delivery.

You will build AI-driven workflows, deploy in cloud-native environments, and collaborate with engineering teams to productionize AI-generated code while improving CI/CD, security, and observability.

Qualifications

• 2+ years of full-stack software development experience.
• Hands-on Kubernetes experience in cloud-native deployments.
• Experience building and consuming REST APIs.
• CI/CD, Infrastructure as Code, and DevOps practices.

Responsibilities

• 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).
• Collaborate 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.

Skills

Kubernetes

Full stack development

REST APIs

CI/CD & DevOps

Tools

Azure

AKS

Job description

Lincolnshire, IL (Greater Chicago) – onsite 4 days per week

1 year contract – W2 only, No C2C

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.
• 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.
• Experience with observability and monitoring platforms.