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Applied AI Engineer
New York, New York, United States · Hybrid · Full Time · Development
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About the role
RAGLLMsCustomer SupportMentoring
COMPANY SUMMARY
Empire State Realty Trust, Inc. (NYSE: ESRT) owns and operates a New York City portfolio of well-leased, top of tier, office, retail, and multifamily assets. ESRT’s Empire State Building features an Observation Deck. The Company is a recognized leader in sustainability. As of November 2, 2026, ESRT’s portfolio is comprised of approximately 7.7 million rentable square feet of commercial space and three residential properties. More information about Empire State Realty Trust can be found at esrtreit.com and by following ESRT on Facebook, Instagram, TikTok, X and LinkedIn.
The dedicated team at ESRT is a collection of diverse individuals with a shared passion for excellence and a keen eye toward future growth. Headquartered in New York City, we harness the energy of the city in everything we do. We care for one another, work hard, and have a lot of fun doing it! We are Certified™ as a Great Place to Work® by the global authority, Great Place to Work®, on workplace culture, employee experience, and leadership behaviors. We prioritize and invest in the health and wellness of employees to attract, develop, and retain top-tier talent. ESRT values continuous employee development and encourages colleagues to excel in their roles and adapt to emerging business needs. From our crown jewel, The Empire State Building, to incredible buildings modernized for the 21st century, to outstanding customer service, and our decade-long leadership position in sustainability and energy efficient portfolio that is 100% fully powered by renewable wind electricity, we take pride in our work. ESRT seeks an equally passionate colleague to join the team, understand the vision and help achieve that vision.
POSITION SUMMARY
The Applied AI Engineer I supports, maintains, and enhances ESRT’s portfolio of AI-enabled enterprise applications. This early-career role offers recent graduates hands-on experience with large language models, retrieval-augmented generation (RAG), AI agents, and intelligent automation, and helps them develop software engineering skills for production applications.
The role works closely with senior engineers and technical leadership to learn the application portfolio and codebase and complete well-defined tasks, such as bug fixes, small enhancements, tests, and documentation. Regular mentorship and code review support skill development and greater responsibility over time.