AI Inventory Automation Engineer

UNIS; Buena Park (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

UNIS in Buena Park, CA is seeking an AI Inventory Support Engineer to develop, deploy, and support AI-powered solutions that improve inventory operations and business processes. This is a hands-on, production‑oriented role requiring at least one year of real‑world experience building and deploying AI applications.

You will build full‑stack tools, create AI agents and workflows, integrate models into operations, test and troubleshoot deployments, and stay current with emerging AI technologies.

Qualifications

• At least one year of hands‑on AI automation experience.
• Bachelor’s degree in Computer Science or related field.
• Strong full‑stack development experience.
• Proficiency with Claude, OpenAI Codex, GitHub Copilot, and other AI tools.
• Experience deploying AI apps to production environments.
• Willingness to work onsite in Buena Park, CA or Greater Chicago.

Responsibilities

• Develop AI automations, agents, and integrations using modern AI platforms.
• Build AI-powered tools to improve inventory and operational workflows.
• Collaborate with stakeholders to replace manual processes with AI-driven solutions.
• Build full-stack applications that integrate AI models into operations.
• Test, troubleshoot, and continuously improve deployed AI solutions.
• Stay current with emerging AI technologies and recommend new tools.

Skills

AI automation

Full-stack development

Production deployment experience

Education

Bachelor’s degree in Computer Science or related field

Tools

Claude

OpenAI Codex

GitHub Copilot

Job description

UNIS in Buena Park, CA is seeking an AI Inventory Support Engineer to develop, deploy, and support AI-powered solutions that improve inventory operations and business processes. This is a hands-on, production‑oriented role requiring at least one year of real‑world experience building and deploying AI applications.

You will build full‑stack tools, create AI agents and workflows, integrate models into operations, test and troubleshoot deployments, and stay current with emerging AI technologies.