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Software Engineer, Full Stack Developer, AI Engineer (Applied​/Software)

Job in Chicago, Cook County, Illinois, 60290, USA
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
Salary/Wage Range or Industry Benchmark: 130000 - 170000 USD Yearly USD 130000.00 170000.00 YEAR
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.
Required Skills
  • 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.
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.
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