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AI Smart Warehouse Engineer

PCOnline
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Summary

We are seeking a motivated, entry-level AI Smart Warehouse Engineer who is passionate about Artificial Intelligence (AI), software development, and smart warehousing technologies to help drive the digital transformation of our U.S.-based e-commerce and third-party logistics (3PL) operations. In this role, you will work closely with our warehouse operations and technology teams to explore and implement practical applications of AI, Large Language Models (LLMs), computer vision, data analytics, and software automation. You will contribute to projects aimed at improving inventory management, order processing, product identification, warehouse workflows, and overall operational efficiency.

This position focuses on AI application development, warehouse systems integration, and intelligent business process automation, with opportunities to transform traditional warehouse operations through practical, technology-driven solutions. We do not expect you to be an experienced AI engineer. We value strong programming fundamentals, a willingness to learn, technical curiosity, problem-solving skills, and the ability to apply emerging technologies to real-world business challenges.

Key Responsibilities

1. AI Application Development & Smart Warehousing
  • Explore practical applications of AI, Large Language Models (LLMs), and computer vision in warehouse and e-commerce operations.
  • Participate in AI projects involving shipping label recognition, Optical Character Recognition (OCR), product identification, return classification, and inventory anomaly detection.
  • Assist in developing intelligent warehouse applications and internal business tools using Python, AI APIs, and related technologies.
  • Contribute to the development, testing, and optimization of AI agents, intelligent business assistants, and enterprise knowledge bases.
  • Help evaluate AI solutions based on accuracy, reliability, performance, and practical business value.
2. Warehouse Systems & Software Automation
  • Support the optimization and integration of Warehouse Management Systems (WMS), Order Management Systems (OMS), and other business applications.
  • Develop business process automation solutions using Python, SQL, APIs, and low-code/no-code platforms.
  • Assist in automating order data processing, inventory synchronization, exception monitoring, and operational reporting.
  • Participate in the testing, deployment, troubleshooting, and maintenance of internal software tools, databases, and business systems.
  • Explore opportunities to integrate AI technologies with existing warehouse systems and automation equipment.
3. Warehouse Data Analytics & Process Optimization
  • Collaborate with warehouse operations teams to understand day-to-day processes, including receiving, putaway, storage, picking, packing, shipping, and returns processing.
  • Analyze existing operational workflows to identify opportunities for improvement through AI and software automation.
  • Assist in collecting, cleaning, organizing, and analyzing warehouse operational data to identify inefficiencies, bottlenecks, and anomalies.
  • Support the development of dashboards, inventory analytics, operational reporting, and productivity monitoring tools.
  • Participate in testing and implementing process improvements while measuring their operational impact.
4. Technology Research & Project Implementation
  • Stay informed about emerging technologies, tools, and industry trends in AI, smart warehousing, and enterprise automation.
  • Work under the guidance of experienced team members throughout the AI project lifecycle, including requirements gathering, prototyping, development, testing, and deployment.
  • Assist in preparing technical documentation, user guides, and project implementation reports.
  • Communicate with operations, technical, and management teams to support the successful adoption of new technologies in real warehouse environments.

Basic Qualifications

  • Bachelor’s degree or higher in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Information Systems, Automation Engineering, or a related technical field.
  • Basic programming knowledge and familiarity with Python, SQL, or another programming language.
  • Strong interest in Artificial Intelligence, Large Language Models, AI agents, and software automation.
  • Basic understanding of software development concepts, databases, or API integrations.
  • Strong analytical thinking, logical reasoning, and problem-solving skills.
  • Ability to learn independently, explore new technologies, and adapt to evolving technical requirements.
  • Hands-on mindset with an interest in applying technology to practical business challenges.
  • Good communication and teamwork skills.
  • Ability to work on-site in Delaware.

Preferred Qualifications (Not Required)

Experience in any of the following areas is a plus, but not required:

  • Experience developing automation scripts, data processing tools, or software applications using Python.
  • Academic, internship, or personal project experience developing AI applications using the OpenAI API or other LLM platforms.
  • Familiarity with AI application development frameworks and concepts such as LangChain, LangGraph, Retrieval-Augmented Generation (RAG), and AI agents.
  • Experience with OCR, computer vision, image recognition, or intelligent document processing.
  • Knowledge of REST APIs, FastAPI, MySQL, PostgreSQL, or similar software development technologies.
  • Familiarity with Git, Linux, Docker, AWS, or other development and deployment environments.
  • Experience with workflow automation platforms such as n8n or Microsoft Power Automate.
  • Basic understanding of WMS, ERP, OMS, or other enterprise business systems.
  • Internship, coursework, or project experience related to e-commerce, logistics, warehousing, or supply chain operations