AI Automation Specialist / Agentic Workflow Engineer
$56,160–$60,320 year
On-site · Buena Park, California, United States
Job Summary
AI Automation Specialist responsible for designing, building, testing, and deploying AI-powered workflows and agents to improve operational efficiency across logistics, transportation, warehousing, and customer service. Responsibilities include full-stack development of automation solutions, integrating APIs and databases, deploying across cloud and local GPU environments, evaluating new AI technologies, and collaborating with business stakeholders to prototype and deliver production-ready applications that drive measurable value.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, Data Science, Information Technology, or a related field, or equivalent hands-on experience
- 3+ years of experience in software engineering, AI automation, workflow orchestration, systems integration, or related technical roles
- Strong proficiency with Python, APIs, AI development frameworks, and modern automation platforms
- Hands-on experience with AI coding and automation tools such as Ollama, Claude Code, Cursor, Codex, OpenAI SDK, Vercel AI SDK, agent frameworks, and workflow orchestration platforms
- Experience building and deploying full-stack applications from concept to production, including cloud deployments, databases, authentication, and API integrations
- Comfortable operating in Linux and macOS terminal environments, utilizing SSH, Git, tmux, package managers, remote debugging tools, and headless server workflows
- Familiarity with local AI models, multimodal AI systems (VLMs), agent orchestration, MCP-style integrations, and autonomous workflow development
- Strong troubleshooting, debugging, and documentation skills with the ability to learn new technologies quickly and independently
- Experience with tools such as Next.js, Supabase, Docker, Vercel, Payload CMS, Coolify, ComfyUI, multi-agent systems, or local GPU deployments is a plus
- Ability to manage multiple projects simultaneously while collaborating effectively with both technical and non-technical stakeholders
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