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.

The hourly rate for this position is $35 an hour. 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.