AI Inventory Support Specialist
UNIS · Los Angeles, US
Job description
Overview
Help Build the Future of AI-Driven Operations We are 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 technical role for someone who is passionate about AI automation, full-stack development, and rapidly deploying production-ready solutions. This is not an entry-level position. Candidates must have at least 1-year of real-world experience building and deploying AI applications and automations.
Responsibilities
- Develop AI automations, agents, and integrations using modern AI platforms.
- Design, build, and deploy AI-powered tools that improve inventory and operational workflows.
- Work with business stakeholders to identify manual processes and replace them with AI-driven solutions.
- Build and maintain full-stack applications that integrate AI models into business operations.
- Test, troubleshoot, and continuously improve deployed AI solutions.
- Stay current with emerging AI technologies and recommend new tools and capabilities.
Minimum Requirements
- Minimum 1 year of hands-on experience building and deploying AI automation solutions (no entry-level candidates).
- Bachelor's degree in Computer Science or a related field.
- Full-stack development experience strongly preferred.
- Demonstrated proficiency with Claude, OpenAI Codex, GitHub Copilot, and other leading AI development tools.
- Experience deploying AI applications into production environments.
- Ability to work onsite in Buena Park, California or the Greater Chicago area.
Preferred Requirements
- Experience building AI agents, AI workflows, and automation pipelines.
- Familiarity with modern development frameworks, APIs, and cloud deployment.
- Experience using AI-assisted coding tools to accelerate software development.
- Passion for learning and adopting emerging AI technologies.
Skills
- Working on cutting-edge AI initiatives with real business impact.
- Collaborating with a fast-moving, AI-first technology team.
- Building and deploying innovative solutions that transform business operations.
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