Software Engineer, Full Stack Developer, AI Engineer (Applied/Software)
Job in
Chicago, Cook County, Illinois, 60290, USA
Listed on 2026-08-30
Listing for:
CDW
Full Time
position Listed on 2026-08-30
Job specializations:
-
Software Development
Full Stack Developer, AI Engineer (Applied/Software), DevOps, Backend Developer
Job Description & How to Apply Below
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, Git Hub 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 product ionize 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.
- 5+ 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 Dev Ops practices.
- Experience using AI development tools such as Claude Code, Cursor, Git Hub Copilot, Gemini, or OpenAI in a professional environment.
- Understanding of application security, automated testing, and production readiness.
- 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.
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