AI Design Development Engineer (Claude)

Imetris Corporation; Chicago (IL); On-site; USD 120,000 - 180,000; Full time

Job summary

Imetris Corporation in Chicago seeks a hands-on AI Engineer to design, build, and deploy AI-powered alert triage and investigation solutions using Claude AI and Splunk.

You will implement agent-based workflows, integrate Claude API, and ensure observability with verdicts, confidence scores, and citations. The role asks for 3+ years building AI/LLM apps, Python async architectures, and cloud deployment with CI/CD and IaC.

Qualifications

• 3+ years building AI/LLM applications and agent-based workflows.
• Strong experience with Claude API, Agent SDK, and MCP (Model Context Protocol).
• Python development with async/queue-based architectures.
• Splunk integration and tool orchestration experience.
• Prompt engineering and structured AI outputs (verdicts, confidence scores, citations).
• Cloud deployment, CI/CD, Infrastructure as Code, and Secrets Management.
• Experience with evaluation frameworks, shadow testing, and AI observability.

Responsibilities

• Design AI-powered alert triage and investigation solutions.
• Build and deploy AI tooling using Claude and Splunk.
• Develop and maintain agent-based workflows and orchestration.
• Ensure observability with verifications, scoring, and traceability.

Skills

AI/LLM development

Python async

Claude API

Agent-based workflows

Prompts engineering

Cloud deployment

CI/CD & IaC

AI observability

Education

Bachelor’s degree in CS/related field

Tools

Claude API

Agent SDK

MCP

Splunk

Job description

W2/1099 Only - No C2C or 3rd Party Candidate

Looking for a hands-on AI Engineer to design, build, and deploy AI-powered alert triage and investigation solutions using Claude AI and Splunk.

Must-Have Requirements:

• 3+ years building AI/LLM applications and agent-based workflows
• Strong experience with Claude API, Agent SDK, and MCP (Model Context Protocol)
• Python development with async/queue-based architectures
• Splunk integration and tool orchestration experience
• Prompt engineering and structured AI outputs (verdicts, confidence scores, citations)
• Cloud deployment, CI/CD, Infrastructure as Code, and Secrets Management
• Experience with evaluation frameworks, shadow testing, and AI observability

Nice to Have:

• LLM cost optimization and model routing strategies