2026 Software Engineer Intern, Full-Stack

Loop
San Francisco, ChicagoPosted 26 March 2026

Tech Stack

Job Description

About Loop Loop is the data platform for the global supply chain. Logistics runs on messy, unstructured data—trapped in PDFs, emails, and legacy systems. We use AI to structure this chaos, creating a "source of truth" that automates payments and audits for the Fortune 100. We are building the financial nervous system for a $100 trillion physical economy. Our technology ensures freight moves efficiently and carriers get paid instantly. Backed by Founders Fund, Index Ventures and 8VC, we are scaling rapidly. We are looking for engineers ready to deploy production AI that powers the physical economy. About the Internship Program This role has two tracks: AI and fullstack engineering. Most AI stays in the browser. Ours moves atoms. You aren't just building features; you are building the autonomous brain for the Fortune 100’s global supply chain. This program is designed to compress 12 months of learning into 12 weeks by throwing you into the deep end of production AI systems on Day 1. Instead of sandboxed projects, you get to solve real problems and impact customers directly. This program demands intense investment, but by the end, you will perform as a strong entry-level engineer jumpstarting your career. Below is a typical internship schedule Week 1 (Onboarding): Deep dive into tools and domain. You will ship code to production on Day 1 and fully grasp our dev loop by Friday. Week 2-4 (Project 1): You will finish your first project, which matches a typical entry-level engineer’s initial project. Week 5-8 (Project 2): Your second project will have more ambiguity, and you will take on more autonomy in completing this project. Week 9-11 (The stretch goal): Your third project comes with bigger scope and more ambiguity, typically expected of mid-level engineers. This is the stretch goal. We do not expect everyone to finish this project. But we expect you to try your best! Week 12 (Demo reflection): You present your work to the exec team and engineering org, detailing the technical tradeoff and business impact. You capture your experience as an engineering blog. About You We're not just looking for strong academic performers. We're looking for people who are genuinely driven to build things and go deep on hard problems. If the following resonates, you belong here: You go above and beyond. You have a repo, a side hustle, or a project you built just because you are curious. You’re self-directed and don't need an assignment to start coding. You have a bias towards action. You prefer to ship, break, fix, and apologize rather than wait for a committee decision. You are drawn to hard problems. You want problems that are more than one prompt away from a solution. You get absorbed in mastering your craft. Whether it’s climbing the Esports ladder, acing a math competition, winning a hackathon, or debugging a complex issue, you know what it feels like to lose track of time working on something you care about. Responsibilities Ship critical infrastructure. Manage real-world logistics and financial data for the largest enterprise in the world. Full-stack proficiency. Work across system boundaries, from frontend UX to LLM agents, database schema and event infrastructures. Leverage AI tools to handle the 90% boilerplate, so you can focus the highest leverage 10%: quality, architecture, product taste. Qualifications Pursuing a BS or higher in STEM fields; available to start full-time in 2027-2028. Working in person in the SF or Chicago office 4 days a week. Proficiency with modern techstack. AI Literate. You have strong intuition on how LLMs work: where they excel and where they generate slop. You live and breathe AI native tools (Cursor, Codex, Claude Code etc.) Compensation Monthly pay: $11,000 Benefits Perks Fireside chat and code reviews from the exec leadership team. Direction interaction with customers and production data. Fulltime offer. If you crush the stretch goal, you will have a return offer ... (truncated, view full listing at source)
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