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Principal AI Engineer

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: Hirewell
Full Time position
Listed on 2026-07-14
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect, DevOps
Salary/Wage Range or Industry Benchmark: 170000 - 250000 USD Yearly USD 170000.00 250000.00 YEAR
Job Description & How to Apply Below

We’re seeking a Principal AI Engineer to lead the design and evolution of an enterprise AI‑native engineering platform that enables software teams to build, test, and deploy AI‑powered applications at scale.

This is a highly technical individual contributor role focused on building agentic engineering capabilities, AI‑augmented developer workflows, reusable agent frameworks, and modern CI/CD platforms that improve engineering velocity while maintaining quality, security, and governance.

Must be located in Chicago, IL - This is a hybrid, on‑site position.

What You’ll Do
  • Design and build an AI‑native engineering platform supporting agentic development workflows
  • Develop reusable agent frameworks, skills, and orchestration patterns
  • Integrate AI development tools such as Claude Code, Cursor, and Git Hub Copilot into the software delivery lifecycle
  • Build and enhance AI‑enabled CI/CD pipelines with automated quality and security guardrails
  • Partner with Architecture, Security, Cloud Engineering, and Development teams to drive platform adoption
  • Mentor engineers on AI‑native software engineering practices and platform capabilities
  • Evaluate emerging AI technologies and help shape the organization’s long‑term AI engineering strategy
Required Experience
  • 9+ years of software engineering experience with 2+ years building or supporting AI‑augmented development platforms or agentic systems
  • Deep understanding of AI‑native software engineering and modern SDLC practices
  • Hands‑on experience with LLM‑based engineering tools such as Claude Code, Cursor, Git Hub Copilot, or similar
  • Strong experience with GCP, Kubernetes (GKE), Terraform, and Infrastructure as Code
  • Experience building developer platforms or internal engineering tooling
  • Strong understanding of application security, software supply chain security, and AI‑related security considerations
Preferred Experience
  • Experience with multi‑agent orchestration and context engineering
  • Experience building platform engineering or inner‑source programs
  • Cloud or AI‑related certifications
  • Master’s degree in Computer Science, AI/ML, or related discipline
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