IT Network Software/AI Development - Co-op/Intern

Position: IT Network Software/AI Development - Co-op/Intern 

• Support the design, development, and maintenance of internal network and IT systems under the guidance of experienced team members
• Assist with network automation, data processing, or tooling initiatives related to IT and network operations
• Participate in the development and testing of scripts or applications to improve system efficiency and reliability
• Help collect, analyze, and troubleshoot data related to network performance, system logs, or automation workflows
• Collaborate with team members on proof‑of‑concepts, prototypes, or small development tasks
• Assist with cloud‑based data storage and processing activities as part of ongoing projects
• Learn and apply tools such as Databricks, AI/LLM‑based libraries, or cloud platforms where applicable
• Document technical findings, configurations, and processes clearly and accurately
• Participate in team meetings, code reviews, and knowledge‑sharing sessions
• Follow established development, security, and operational best practices while working on‑site
  
   

• Currently enrolled in a bachelor’s degree or diploma program in Computer Science, Computer Systems Engineering, or a related field
• Coursework or hands‑on experience with Python programming, SQL statements, and PowerShell scripting
• Familiarity with cloud concepts, including data storage and data processing, through coursework, labs, or personal projects
• Ability to learn new technologies quickly and apply them in a practical environment, with strong problem‑solving skills and attention to detail
• Good communication skills and the ability to work effectively as part of an on‑site team

• Familiarity with version control tools such as Git through academic or project work

  Nice to have:

• Basic understanding of networking fundamentals, such as TCP/IP, IP addressing, routing, or network protocols
• Exposure to Databricks, data analytics platforms, or big‑data tools
• Interest in or introductory experience with LangChain, OpenAI, or other AI/LLM‑based libraries