AI Engineering Intern

RESPONSIBILITIES

• Collaborate with the App Dev team and related Business Units to design and implement Agentic AI virtual assistant features—leveraging platforms such as Cadastral, Agent Force, and Assist—for leasing and operational projects 
• Support the integration of Microsoft Copilot, ChatGPT, and other AI tools into existing systems to enhance workflow efficiency and user experience for Applications and specific to Data Warehouses 
• Research emerging AI technologies and recommend best practices for Agentic AI development across ESRT 
• Test and debug AI assistant functionalities to ensure high performance, accuracy, and usability
• Gather and analyze user feedback to improve AI responses, behaviors, and capabilities 
• Document technical specifications, workflows, and processes for newly developed AI features 

REQUIRED SKILLS

• Solid foundation in Python (preferred) with exposure to Java or JavaScript through coursework or projects 
• Working knowledge of AI/ML concepts, including NLP, LLMs (e.g., ChatGPT), and basic chatbot development 
• Familiarity with APIs (REST/GraphQL), handling JSON, and integrating data into simple applications 
• Basic understanding of data structures, data processing, and small data workflows 
• Ability to learn and apply AI tools such as Copilot, CadastreL, AgentForce, and Assist
• Strong communication and teamwork skills 
• Detail-oriented, organized, and comfortable in a fast-paced, evolving environment 
• Interest in ethical AI and cybersecurity best practices 
• Curious, self-motivated learner who stays updated on AI/ML trends 
• Able to work independently while seeking guidance when appropriate 

EDUCATION & EXPERIENCE

• A Junior enrolled in a four-year or five-year undergraduate program in the graduating class of 2027 in preferred
• Prior experience with software development or AI/ML projects through coursework, internships, or personal projects is preferred 
• Industry exposure in Real Estate, Finance, or Travel/Tourism is a plus 
• Familiarity with Microsoft Fabric and Microsoft Azure AI Services 
• Hands-on project experience in areas such as data architecture, forecasting, recommendation systems, optimization, anomaly detection, inference engines, churn analysis, segmentation, or NLP/LLM model development 

PHYSICAL REQUIREMENTS

• Prolonged periods of sitting at a desk and working on a computer
• Must be able to lift up to 15 pounds at times

WHAT YOU CAN EXPECT

• At ESRT, like our tenants, our employees come from everywhere. We foster a collaborative work environment that captures top talent and cultivates the best ideas. As a Great Place to Work® Certified employer, we are committed to maintaining our positive work culture where employees are engaged and can grow and develop. In addition, ESRT employees embody our Company Culture & Success Factors -
• Adaptable – you are a self-starter who’s able to quickly digest and execute new processes to work both collaboratively and independently
• Dynamic – you are solutions-oriented, aim to improve processes and implement efficiency, and offer insightful feedback to improve ESRT
• Dependable – you take a strong sense of ownership and accountability over your work
• Passionate – you keep up with industry trends and are excited about the potential to propel the industry forward with a “roll-up-your-sleeves” attitude
• Curious – you consistently look for new ways to work smarter, not just harder
• Ethical – you treat others with respect, act with integrity in how you perform your work, and embrace our collaborative culture
• Positive – you possess a service-oriented attitude with excellent follow through

WELL-BEING

• 40-hour work week, paid at a rate of $22.50 p/h 
• A challenging, exciting, and meaningful 10-week experience 
• Networking opportunities to get to know fellow interns and key leaders throughout ESRT 
• An individual project to be presented to executive leadership 
• Company sponsored lunches with leadership and outings 
• Tour of the Empire State Building Observatory 
• Summer Friday Early Release