AI Agent Engineer, Cloud Infrastructure

What you'll do

• Design, deploy, monitor, and improve production AI workflows, including triage, retrieval, summarization, reporting, and escalation routing.
• Manage cloud environments as infrastructure as code; own networking, identity, secrets, security posture, deployment paths, and platform costs.
• Work with process owners and leadership to define requirements, quality checks, documentation, and recurring reports.

What they ask for

• 5 years of proven experience translating user requirements into wireframes, workflows, and similar deliverables.
• 1 year of proven experience using Claude or a similar commercial offering to build AI agents; demonstrated experience building and explaining a functioning multi-agent workflow.
• Practical prompt engineering experience, including RAG and tool or function calling; ability to troubleshoot agent workflows and explain technical systems to non-technical audiences.
• Production experience with at least one major cloud platform (GCP, Azure, or Cloudflare), working familiarity with a second, infrastructure as code (Terraform, Pulumi, or equivalent), and working command of cloud networking, identity, and secrets management.

Nice to have

• 5–7 years of software development experience; Python coding experience.
• Experience with production-scale Kubernetes or serverless runtimes, cloud cost management, CI/CD, AI reliability tooling, or government and defense programs.

Tools

GCP, AWS, Cloudflare, Azure, Terraform, Pulumi, Claude, Python

AI focus

Build, operate, troubleshoot, and evaluate multi-agent AI workflows; apply prompt engineering, RAG, tool or function calling, output quality standards, and human review.