Engineering Intern

About The Internship

We're hiring an Engineering Intern for a 13-week internship at our San Francisco office. You'll work at least 3 days per week (8-hour days) on-site, and the schedule is designed to fit alongside your studies if you're currently enrolled. Rather than hiring into a fixed role, we place interns into one of three tracks based on your skillset and interests, decided together during your first two weeks:

• Product Engineering: Build user-facing features end to end and ship real product to real users, working across the stack with designers and product leads.
• AI Engineering: Work directly with LLMs and agentic systems. Design prompts and evals, build AI-powered features, and improve the model-driven workflows at the heart of our platform.
• AI Platform Engineering: Build the infrastructure that powers our AI systems: LLM data pipelines, agent orchestration, observability, and the tooling other engineers rely on.

What You'll Do

• Ship production code from your first weeks, with code review and mentorship from senior engineers
• Own a scoped project within your track and see it through from design to launch
• Participate in standups, sprint planning, and technical discussions like any other engineer
• Present your work to the broader team at the end of the internship

What We're Looking For

• Currently pursuing (or recently completed) a degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• Solid programming fundamentals in at least one language (we work primarily in Python and TypeScript)
• Genuine curiosity about AI products and how LLMs are changing how enterprises work
• Ability to work from our SF office at least 3 days per week for the full internship
• Strong communication skills and a bias toward shipping

Nice to Have (Helps Us Place You in a Track)

• Personal or academic projects involving LLM APIs, RAG, agents, or fine-tuning
• Full-stack or frontend experience (React or similar) for the Product track
• Infrastructure, data pipeline, or LLM orchestration experience for the AI Platform track

Details

• Duration: 13 weeks, with start dates aligned to the current cohort
• Schedule: Minimum 3 days per week, 8 hours per day, on-site in San Francisco
• Compensation: $40 to $50 per hour (W-2), plus accrued paid sick leave per California law

Eligibility

• Must be authorized to work in the US. We support F-1 students using CPT or OPT. CPT requires university approval, so apply early.

Age

• Applicants must be 18 or older

Program Dates

• Applications open: Monday, July 13, 2026
• Application deadline: Friday, August 14, 2026 (reviewed on a rolling basis, so early applications are encouraged)
• Internship runs: Monday, September 8 to Friday, December 11, 2026 (13 weeks)

Career Path

• Strong interns are considered for return offers and full-time roles

Equal Opportunity Employer

• We celebrate diversity and are committed to creating an inclusive environment for all employees

Compensation Range

• Provided in compliance with California pay transparency requirements