AI-Powered Web Engineering Intern

United States 2 Avis Budget Car Rental LLC; Parsippany-Troy Hills (NJ); On-site; USD 41,000 - 55,000; Full time

Job summary

Avis Budget Group invites you to join the Accelerate internship program in Parsippany, NJ, where you will build features on customer-facing platforms and explore AI-powered initiatives under guidance from senior engineers.

The role emphasizes hands-on coding in JS/TS, Python, and Java, with exposure to React/Angular, AWS, and Kubernetes. Expect a 35-hour workweek and a strong pathway into professional development.

Qualifications

• Currently pursuing a 4-year degree in Computer Science, AI/ML, or a related field.
• Hands-on experience coding in at least one language (JavaScript/TypeScript, Python, Java, etc.).
• Familiarity with web development fundamentals — HTML, CSS, REST APIs; curiosity about React or Angular.
• Interest in applied AI: LLMs, prompt engineering, vector search, or ML APIs.
• Strong attention to detail and ability to work in fast-moving environments.
• Clear written and verbal communication skills; ability to collaborate with senior engineers.
• Availability to work 35 hours per week.

Responsibilities

• Build and ship features on customer-facing digital platforms—from streamlining the rental journey to self-service experiences.
• Contribute to AI-powered initiatives, including integrating LLMs, search and recommendation features, and prototyping AI tooling.
• Work directly with Engineering leaders and Solution Architects on technology transformation initiatives.
• Develop across a modern web stack — React, Angular, Node.js, Java — on AWS with Kubernetes, CI/CD, testing, and quality.
• Collaborate on prompt engineering, retrieval-augmented generation, and AI agent workflows.

Skills

JavaScript/TypeScript

Python

Java

Web fundamentals

AI/ML interest

Education

Pursuing 4-year CS degree

Tools

AWS

Docker

Kubernetes

Job description

Avis Budget Group invites you to join the Accelerate internship program in Parsippany, NJ, where you will build features on customer-facing platforms and explore AI-powered initiatives under guidance from senior engineers.

The role emphasizes hands-on coding in JS/TS, Python, and Java, with exposure to React/Angular, AWS, and Kubernetes. Expect a 35-hour workweek and a strong pathway into professional development.