Software Engineer Intern, Agent (Summer 2027)
- Region
- 🇺🇸 United States
- Work mode
- On-site
- Category
- Engineering
- Level
- Student/Intern
- Season
- Summer
About the company & role
About us Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor and Clay Bavor who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. As a Software Engineer Intern, Agent, you'll work directly on production AI agents for Sierra's customers. You'll gain hands-on experience contributing to the design and development of AI agents, shipping features, and learning from real-world use cases at scale. If you're hungry to shape and learn from the most important technological wave in history, come build at Sierra. What you'll bring Pursuing a bachelor's or master's degree in computer science or a related field Strong technical problem-solving skills, especially in fast-changing, ambiguous environments A builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and ship Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences Even better Experience building or deploying AI/LLM systems in production Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with Reac