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New York University

Global university research and education collaboration

Full-Stack AI Engineer

Full-Stack EngineeringPosted on Nov 11
Full-timeNew York, NY, USA$170k - $190k /yrIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Software Engineering, Web Development, Information Technology, or a related field, or an equivalent combination of education and experience.
  • At least 3 years of progressive experience in full-stack software development, web application engineering, or digital product development, including experience delivering production web applications at scale.
  • Mastery of modern frontend frameworks such as React, Next.js, or Vue.js; modern JavaScript or TypeScript; HTML5; CSS3; and state management libraries.
  • Expertise building backend APIs and server-side microservices using Python with FastAPI or Flask, and/or Node.js with TypeScript.
  • Practical experience integrating large language model APIs, building streaming HTTP or WebSocket endpoints, prompt execution frameworks, and retrieval-augmented generation applications.
  • Understanding of web security fundamentals, CORS, CSRF, JWT, OAuth2, OpenID Connect, and enterprise single sign-on integrations.
  • Experience with relational databases such as PostgreSQL, document stores, vector databases such as pgvector, Pinecone, or Qdrant, and caching mechanisms such as Redis.
  • Understanding of modern user interaction design, responsive UI development, and accessibility standards including WCAG 2.1 AA and ADA compliance.
  • A strong foundation in Git, RESTful or GraphQL API design, automated testing frameworks such as Jest, Playwright, Cypress, or PyTest, and Docker containerization.

Responsibilities

  • Design, build, and maintain user-facing applications, backend services, and interactive capabilities supporting artificial intelligence across NYU.
  • Develop and maintain the software foundation for enterprise AI web applications and user experiences, including frontend interfaces, server-side APIs, identity and access management integrations, foundation model interactions, user-facing features, and administrative governance tooling.
  • Translate product vision and AI architecture into production-ready, accessible, and intuitive web applications while following organizational architectural patterns and institutional security and technology standards.
  • Design, write, and maintain production code across client-side and server-side stacks.

Desired Qualifications

  • Experience building or customizing enterprise large language model chat applications or workplace AI assistants similar to ChatGPT Enterprise, LibreChat, or Open WebUI.
  • Experience developing administrative control portals, usage monitoring dashboards, or token and cost management user interfaces.
  • Prior experience delivering digital products or web applications within higher education, research, or a complex enterprise institution.

About the Company

New York University

Global university research and education collaboration

New York University (NYU) and KAIST (Korea Advanced Institute of Science and Technology) formed a cross-continental partnership in 2022 to boost research, education, and industry collaboration. The collaboration combines NYU’s and KAIST’s strengths to create joint programs and a shared presence in New York City. It brings together more than 200 faculty from both institutions to pursue joint research and education initiatives, including dual-degree programs at undergraduate and graduate levels and study-away and exchange opportunities. Unlike typical single-country collaborations, this partnership connects U.S. and Korean academic ecosystems to tackle global challenges, expand cross-border innovation, and attract industrial investments. The goal is to build a durable ecosystem that accelerates discovery, entrepreneurship, and the translation of research into real-world impact through academic programs, collaborations, and a broader joint presence in New York.

Company size
1-10
Company stage
Not listed
Total funding
Not listed
Headquarters
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Founded
Not listed

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