Retail Software Engineering / AI Integration Intern

Overview:

Love From USA is seeking a Software Engineering / AI Intern to provide part-time, in-office coverage over the summer. The ideal candidate brings a strong foundation in data analytics and software development, hands-on experience with CounterPoint and Sage software, and a genuine interest in applying AI tools to real-world retail and supply chain challenges.

Schedule:

• Summer, Part-Time, Non-Exempt position
• Monday–Friday, standard business hours

About Us

At Love From USA, we’re not a typical retail company. With 24 stores (and growing) in high profile venues across the U.S., we have a passion for inspiring our customers and connecting them with the perfect gift. Love From USA is a specialty retailer operating in venues in Orlando, Denver + Chicago’s airports along with highly trafficked locations like Mall of America and Chicago’s Navy Pier.

Responsibilities

As a key member of the Operations and Technology team, this individual will:

• Lead data analytics efforts, including analysis of CounterPoint reports, sales trends, airport-driven metrics, and concept/industry-specific KPIs
• Develop and maintain data pipelines and dashboards to track inventory, sales, and logistics performance
• Analyze supply chain data to identify inefficiencies and recommend process improvements
• Assist in building predictive models for demand forecasting and inventory optimization, leveraging AI tools including Claude (Anthropic’s AI assistant) to accelerate analysis and automate insights
• Support and extend reporting workflows within Sage (ERP/accounting) and Counterpoint (retail point-of-sale and inventory management), including data extraction, reconciliation, and integration tasks
• Automate manual reporting processes using scripting or data tools
• Collaborate with cross-functional teams (operations, finance, IT) to gather requirements and deliver solutions
• Support integration of AI/ML tools into existing reporting workflows
• Assist with Microsoft 365 administration tasks, including user provisioning, license management, and troubleshooting across the M365 suite
• Support Microsoft Entra (Azure Active Directory) and on-premises Active Directory administration, including user and group management, access controls, and identity governance

Qualifications

• Currently pursuing a Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related field
• Experience with programming languages such as Python, SQL, or Java
• Familiarity with data analysis, visualization tools (e.g., Tableau, Power BI), or libraries (e.g., Pandas, NumPy)
• Basic understanding of machine learning concepts is a plus
• Strong analytical thinking and problem-solving skills
• Ability to work independently and communicate effectively in a team environment

Preferred Skills

• Experience working with large datasets or cloud platforms (AWS, GCP, or Azure)
• Exposure to supply chain, logistics, or retail analytics
• Familiarity with Sage ERP or Counterpoint POS/inventory systems
• Experience or coursework related to AI tools such as Claude or similar large language model platforms
• Basic knowledge of Microsoft 365 administration, Microsoft Entra ID, or Active Directory (user management, group policies, permissions)
• Interest in applying AI to business operations and enterprise systems

What You’ll Gain

• Hands-on experience solving real-world supply chain challenges in a high-volume retail environment
• Exposure to airport retail operations and logistics
• Practical experience with enterprise platforms including Sage, Counterpoint, Microsoft 365, Microsoft Entra, Active Directory, and Claude AI
• Mentorship from experienced professionals in technology and operations
• Opportunity to contribute to impactful, data-driven decision-making systems

How to Apply

Please submit your resume and a brief statement of interest highlighting relevant coursework, projects, or experience in coding, data analysis, AI, or enterprise systems administration.

Pay: From $17.00 per hour

Ability to Commute:

• Shoreview, MN 55126 (Required)

Ability to Relocate:

• Shoreview, MN 55126: Relocate before starting work (Required)

Work Location: In person