Sobre este puesto de Accelerate - IT Engineering Intern Summer 2027 en Avis Budget Group
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.
