Growth Engineering Staff Back-end Engineer I

Company Introduction

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce.

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.

We are building the next generation of AI-powered systems across the full spectrum of e-commerce technology. As an early-stage AI initiative within a major e-commerce platform, you'll have the rare opportunity to shape foundational architecture decisions and drive real business impact from day one. What You'll Work On: • Generative AI for Creative — Design and scale production pipelines leveraging state-of-the-art image and video generation models (Gemini, etc.) to power high-performance off-site/on-site advertising creatives at scale. • AI-Native Data Platform & Insights — Build intelligent data infrastructure that goes beyond dashboards — incorporating LLM-powered analytics, natural language querying, automated anomaly detection, and proactive business insight generation. • Enterprise Knowledge Graph & RAG Systems — Architect retrieval-augmented generation (RAG) pipelines, knowledge graphs, and semantic search systems that serve as the harness capability for AI agents across the organization. • AI-Augmented Software Development Lifecycle — Pioneer agentic coding workflows that accelerate every phase from requirement analysis to code generation, automated testing, and continuous deployment — bringing AI copilots and autonomous agents into production engineering. • LLM Evaluation, Safety & Governance — Establish evaluation benchmarks, guardrails, and responsible AI practices to ensure quality, reliability, and compliance at enterprise scale. Why This Role Stands Out: • Greenfield opportunity — You're not maintaining legacy AI systems; you're building them from scratch with modern tooling and architecture. • End-to-end ownership — From research and prototyping to production deployment, you own the full lifecycle. • Real-world scale