IT Engineering Intern - Accelerate

Want to accelerate your career? Join a team of driven people, performing with purpose.

At Avis Budget Group, we are proud to be a performance driven organization. Our 21,000+ employees encourage each other to be at their best through outstanding leadership, training and tools and rewards.

As a participant of our ABG Accelerate internship program you will be encouraged to explore different areas of our business to grow both personally and professionally to jump start a rewarding career.

The 10 Week Accelerate Internship Program consists of:

• Learning the ins and outs of your department
• Professional development workshops
• Hear from our leaders to learn more about our business
• Network with our senior leadership team
• Visit our field operations to learn how your team influences our daily operations

WHAT YOU'LL DO

• Build and ship features on our customer-facing digital platforms — from streamlining the rental journey to enabling self-service experiences that eliminate wait times and delight customers.
• Contribute to AI-powered initiatives, including integrating large language models (LLMs), building intelligent search and recommendation features, and prototyping generative AI tooling across our web properties.
• Work directly with Engineering leaders and Solution Architects on technology transformation initiatives that impact millions of renters globally.
• Develop across our modern web stack — React, Angular, Node.js, and Java — deployed on AWS with Kubernetes, following best practices in CI/CD, testing, and code quality.
• Collaborate on prompt engineering, retrieval-augmented generation (RAG), and AI agent workflows as we embed intelligence into the rental experience.

WE'RE LOOKING FOR SOMEONE WHO HAS

• 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 — and curiosity about how modern front-end frameworks like React or Angular work.
• An interest in applied AI: LLMs, prompt engineering, vector search, or ML APIs (even if just through personal projects or coursework).
• Strong attention to detail and comfort working in ambiguous, fast-moving environments.
• Clear written and verbal communication skills — you'll be working directly with senior engineers and architects.
• Availability to work 35 hours per week.

NICE TO HAVE

• Experience with AWS services (Lambda, S3, API Gateway, Bedrock, etc.).
• Exposure to Java or Node.js in a project or professional setting.
• Familiarity with relational or vector databases.
• Experience integrating or fine-tuning AI/ML models or APIs (OpenAI, Anthropic, HuggingFace, etc.).
• Understanding of containerization basics (Docker, Kubernetes).
• Familiarity with web analytics platforms (Google Analytics, Adobe Analytics, or Segment) and using data to measure feature impact.
• Exposure to headless CMS platforms (Contentful, Strapi, or similar) for managing content-driven web experiences.
• Basic understanding of SEO fundamentals — semantic HTML, Core Web Vitals, metadata — as they relate to front-end development.

Pay: $35 an hour

Location: Parsippany, New Jersey, United States of America

Who we are:

Here at Avis Budget Group, you will be joining a team of 25,000 driven people, performing with purpose. Together, we're moving the future of transportation forward with our innovative, customer-focused solutions.

Our culture is performance driven, where we encourage and support each other to be at our best through leadership, training, tools, and rewards.

We are proud to make a positive difference to the lives of our colleagues, customers, and communities where we operate.

Avis Budget Group is an Equal Opportunity Employer – Qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran or any other category protected by applicable law.