Staff Back-end Engineer
Core
Design and operate backend distributed services and multi-agent systems for Coupang's NCA and TW advertising products, focusing on GenAI video creation, AIOps, and ranking improvements.
Role type
Staff Back-end Engineer (GenAI & Multi-Agent Systems)
Builds
LLM- and multimodal-model-based multi-agent systems, GenAI video-creative generation, AIOps fault diagnosis, ranking-algorithm improvement, and AI-native SDLC automation systems.
Domain
Advertising technology, Generative AI, Large Language Models, Distributed Systems
Deliverable
production ML models | product features
Required skills
Java or Python, large-scale distributed systems design, asynchronous processing, concurrency, idempotency, rate limiting, LLM architectures, attention mechanisms, MoE, model serving, multi-agent system architecture, Agent/RAG system delivery, self-harness, memory management, long context handling, planning, tool-use technologies, AI development frameworks (LangChain, LangGraph, Deerflow, Claude Code, Hermes), software architecture, design patterns, high-concurrency backend design.
Preferred skills
Computer science, mathematics, physics, or electronics background, strong learning ability, independent problem-solving.
Technologies
LangChain, LangGraph, Deerflow, Claude Code, Hermes
Responsibilities
Develop and operate backend distributed services for advertising products; Lead architecture and core development of LLM- and multimodal-model-based multi-agent systems; Design long-running agent hosting, sandbox execution environments, layered context management, persistent storage, and function-calling orchestration; Deliver complex Agent/RAG systems end to end; Build and operate GenAI video-creative generation, AIOps fault diagnosis, ranking-algorithm improvement, and AI-native SDLC automation systems; Translate research advances in memory, long context, planning, and tool use into production engineering solutions.
Seniority
Staff, hands-on IC with architectural leadership
