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Empire State Realty Trust

Leases energy-efficient office and retail space

Applied AI Engineer 1

AI Application EngineeringPosted on Nov 13
Full-timeNew York, NY, USA

About the Job

Requirements

  • A bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field, or equivalent hands-on experience through internships, bootcamps, or personal or academic projects.
  • A solid foundation in Python and exposure to at least one additional programming language, such as C#, Java, or TypeScript, through coursework or projects.
  • Exposure to large language models, APIs, or other AI services through coursework, internships, or personal projects.
  • Basic knowledge of software engineering fundamentals, including version control with Git, tests, and code review.
  • Familiarity with API development or use, databases, and data models.
  • Willingness to learn about AI application risks, including prompt injection and sensitive-data exposure, and responsible AI practices.
  • Strong problem-resolution skills and the ability to learn new tools and technologies quickly.
  • Ability to collaborate, take direction from senior engineers, and show initiative on assigned tasks.
  • Ability to sit at a desk and work on a computer for prolonged periods, and lift up to 15 pounds at times.

Responsibilities

  • Support software design, development, testing, and deployment under senior guidance, and help build applications incorporating large language models and other AI capabilities.
  • Support retrieval-augmented generation workflows, including document ingestion, chunking, embeddings, indexing, and retrieval.
  • Help develop AI agents, agent tools, and tool-calling workflows, and convert approved prototypes into production-ready features under senior guidance.
  • Implement small, well-defined features and components under close guidance, with code review by senior engineers.
  • Learn the architecture and codebase of AI applications, including model integrations, retrieval-augmented generation pipelines, agent workflows, evaluation systems, and observability, through structured orientation, documentation, and work with experienced engineers.
  • Write unit and integration tests and help develop automated tests and application monitoring.
  • Learn and apply safeguards for data privacy, access control, and responsible AI practices.
  • Help build APIs, backend services, and data-processing workflows connecting AI solutions with internal systems, including support for data ingestion and extract, transform, and load processes.
  • Write clean, well-documented code, use Git for version control, participate in peer code reviews, and follow continuous integration and continuous delivery practices.
  • Maintain technical documentation, communicate progress and blockers clearly, and collaborate with internal teams, vendors, and business stakeholders in an agile environment.

Desired Qualifications

  • Internship, co-op, or project experience is a plus.
  • Coursework or project exposure to retrieval-augmented generation concepts, including embeddings and vector search; Azure OpenAI or comparable AI platforms; cloud platforms such as Azure, AWS, or Google Cloud Platform; or traditional machine learning.

About the Company

Empire State Realty Trust

Leases energy-efficient office and retail space

Empire State Realty Trust owns, manages, and operates a portfolio of office, retail and residential properties in Manhattan and the New York metropolitan area, including the Empire State Building. It earns rent by leasing space and benefits from tourism-related income tied to its landmark assets, while operating these properties to be energy-efficient and provide healthy environments. Its mix of prime, high-traffic locations, emphasis on sustainability, and ownership of iconic assets differentiates it from competitors. Its goal is to provide well‑located, healthy spaces and steady rental income while delivering long‑term value for shareholders through sustainable real estate.

Company size
201-500
Company stage
IPO
Headquarters
New York City, New York
Founded
2011

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