Day & Nite Air Conditioning Service Corp
SOFTWARE ENGINEER INTERN
Salary
$17 - $18/HOUR
Job type
Full-time and Internship
Location
New Hyde Park, New York, US
Remote
No
Posted
3 days ago
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Position Description: Software Engineer Intern AI, Automation & IT Systems
Day & Nite is modernizing the way commercial HVAC, refrigeration, and kitchen equipment services are delivered. Our Strategy and Standards team is at the core of this transformation, building AI systems, automating workflows, and upgrading infrastructure to support smarter business operations across 13 states and 160+ technicians. Were building internal tools and agentic AI platforms that do more than just report, they reason, act, and assist our teams in real time. What Youll Do This hybrid role combines software engineering, data science exposure, and IT operations support. You will: Contribute to the setup and support of Predictive Maintenance (PM) projects, including sensor deployment, data collection, and data preprocessing Participate in building early machine learning models for equipment failure prediction Develop and maintain backend services (Python, FastAPI, Node.js) and integrate with platforms like SAMPro, Notion, Strapi, and ServiceChannel Work with large volumes of ERP and service data to build tools that combine AI and automation to improve business efficiency Support our internal tools (e.g., Chrome Extensions, React Native apps, ERP system) and assist with IT tasks, including software provisioning, access control, field device troubleshooting, and user tech support. Sample Projects Youll Support AI-powered agents that summarize work order history and provide status insights via chat Internal dashboards that ingest real-time technician data and provide recommendations, and analysis Automations for repetitive tasks Monitoring tools that log sensor outputs for PM modeling and anomaly detection What Youll Gain Hands-on experience in building and supporting agentic AI and automation in a live business context Exposure to the full lifecycle of data-driven AI projects: collection ? preprocessing ? modeling ? deployment Direct involvement in walk-in refrigeration monitoring, helping shape a scalable PM model Mentorship from IT engineers, software developers, and AI leads A chance to meaningfully impact our operational efficiency and predictive maintenance goals Consideration for full-time employment based on performance Minimum Qualifications - What You'll Bring Currently pursuing a bachelor's degree in Computer Science, Data Science, Cybersecurity, or a related field Strong interest in AI/ML, data pipelines, or backend system architecture Comfortable coding in Python, JavaScript/TypeScript, SQL, and PowerShell Curious about both software development and the operational side of IT Bonus: experience with APIs, Node.js, SQL Server, Azure, AWS, and Generative AI implementation
$17.00 - $18.00 Hourly
Responsibilities
- This hybrid role combines software engineering, data science exposure, and IT operations support
- Contribute to the setup and support of Predictive Maintenance (PM) projects, including sensor deployment, data collection, and data preprocessing
- Participate in building early machine learning models for equipment failure prediction
- Develop and maintain backend services (Python, FastAPI, Node.js) and integrate with platforms like SAMPro, Notion, Strapi, and ServiceChannel
- Work with large volumes of ERP and service data to build tools that combine AI and automation to improve business efficiency
- Support our internal tools (e.g., Chrome Extensions, React Native apps, ERP system) and assist with IT tasks, including software provisioning, access control, field device troubleshooting, and user tech support
- AI-powered agents that summarize work order history and provide status insights via chat
- Internal dashboards that ingest real-time technician data and provide recommendations, and analysis
- Automations for repetitive tasks
- Monitoring tools that log sensor outputs for PM modeling and anomaly detection
- Direct involvement in walk-in refrigeration monitoring, helping shape a scalable PM model
- Mentorship from IT engineers, software developers, and AI leads
- A chance to meaningfully impact our operational efficiency and predictive maintenance goals
- Consideration for full-time employment based on performance
Qualifications
- Currently pursuing a bachelor's degree in Computer Science, Data Science, Cybersecurity, or a related field
- Strong interest in AI/ML, data pipelines, or backend system architecture
- Comfortable coding in Python, JavaScript/TypeScript, SQL, and PowerShell
- Curious about both software development and the operational side of IT
- Bonus: experience with APIs, Node.js, SQL Server, Azure, AWS, and Generative AI implementation
Benefits
- Hands-on experience in building and supporting agentic AI and automation in a live business context
- $17.00 - $18.00 Hourly
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