Company Introduction
We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I 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.
What You'll Work On:
- AI-Native Data Platform & Insights — Build intelligent, low-latency data infrastructure that goes beyond dashboards. You will design systems incorporating LLM-powered analytics, natural language querying (Text-to-SQL/Text-to-API), automated anomaly detection, and proactive business insight generation.
- Enterprise Knowledge Graph & Agentic RAG Systems — Architect multi-step, retrieval-augmented generation (RAG) loops and hybrid storage layers. You will connect dense vector embeddings with structured Knowledge Graphs to enable deterministic semantic search and multi-hop reasoning for autonomous internal agents.
- AI-Augmented Software Development Lifecycle — Pioneer stateful, agentic workflows that accelerate software development from requirement analysis to code generation, automated testing, and CI/CD pipelines—bringing AI copilots seamlessly into production engineering.
- LLM Evaluation, Safety & Governance — Establish automated evaluation benchmarks (using LLM-as-a-judge frameworks), strict guardrails, and responsible AI practices to ensure cost-efficiency, data privacy, and reliability at enterprise scale.
Preferred Qualifications (Optional / Good to Have):
While the core focus of this role is AI engineering, we highly value hands-on experience extending into backend infrastructure, modern MLOps, and cross-regional collaboration:
- Orchestration & Data Infrastructure: High-performance frameworks (Python/FastAPI), stateful graph orchestration frameworks (e.g., LangGraph), Vector DBs, and Graph DBs.
- MLOps & Observability: Tools for containerized model deployment and evaluation monitoring (Triton Inference Server, MLflow).
- Global Collaboration: Effective English verbal and written communication skills to facilitate smooth collaboration and technical alignment across our regional hubs in Shanghai, Seoul, and the US.
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 — Your work directly impacts millions of users and handles enterprise-level traffic on one of the largest e-commerce platforms in the world.
--------------------------
Privacy Notice
