Engineering Intern (Summer 2027)
- Region
- 🇺🇸 United States
- Work mode
- On-site
- Category
- Engineering
- Level
- Student/Intern
- Season
- Summer
About the company & role
About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Role As an intern on Decagon’s Engineering team, you’ll be part of a pioneering group shaping the future of intelligent agents. You’ll contribute directly to production-ready initiatives that address real team needs, gaining hands-on experience and leaving your mark on meaningful, high-visibility work. This is a 12-week internship running June 1 – August 20, 2027, based out of our San Francisco office. This role is designed for candidates graduating between December 2027 and July 2028. Your background looks something like this You will graduate by summer 2028 with a degree in Computer Science or a related technical field You have experience from previous software engineering internships You write amazing code, fast Experience using AI coding agents as part of development You are excited to thrive in a fast-paced environment, continuously learn, and sharpen your skills Even better Prior experience working with multi-modal models Experience with distributed systems, data pipelines, or produ