Looking for an internship where you can apply AI to real products and learn from experienced engineers? Join us for a 6-month journey building solutions at global scale.
Meet HRS ↓HRS is a global leader in business travel and lodging technology, trusted by Fortune 500 companies and enterprises worldwide to manage travel, accommodation, and payment solutions for millions of employees.
For more than 50 years, HRS has been helping organizations simplify the complexities of business travel. Today, we're taking the next step by integrating AI into our products and workflows, building intelligent solutions that improve how businesses plan, manage, and optimize travel experiences at scale.
As we continue this transformation, we're looking for engineers who are excited to apply AI to real-world challenges and build products used by some of the world's largest organizations.
We're looking for curious minds who want to turn knowledge into impact. Through real projects, mentorship, and meaningful ownership, you'll gain hands-on experience while helping shape the future of AI-powered business travel.
Work in a global company where AI adoption isn't a buzzword — it's how we build, every day.
Surrounded by experienced engineers who share, guide, and help you grow — with real ownership, not just tickets.
Interns who excel are often considered for future opportunities with us.
You're studying Computer Science, AI, Software Engineering, Data Science, or a closely related field.
You're in your 3rd or 4th year, with graduation expected more than 6 months from the internship start date.
This internship is designed as a full-time learning experience, not a part-time role around a heavy class schedule.
You can read technical documentation and communicate effectively in English.
We expect a basic understanding of machine learning and modern AI concepts (for example: models, prompting, evaluation, or data pipelines). More importantly, we look for evidence that you've applied those ideas.
We care much more about what you've built, learned, and can explain than a perfect GPA.
Good signals include:
Curious how we build production AI? Here's a piece from our team.
Semantic caching, tiered routing, context windowing, prompt compression and more — how we keep AI fast, reliable, and cost-efficient at scale.
Read on LinkedIn →Applications close 15 July 2026. Takes about 10 minutes — have these three ready to make it faster.
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