1 month ago
Seoul, Korea, SouthStaff+
Responsibilities
- Design and develop AI-powered investigation workflows and agent-based systems integrated with internal tools, data sources, and knowledge repositories.
- Build detection and risk-analysis systems using risk signals, behavioral analytics, anomaly detection, and combined telemetry data.
- Develop scalable batch and streaming data pipelines, feature-engineering workflows, and data products for AI, investigation, automation, and risk assessment.
- Design and implement APIs, backend services, distributed systems, and frameworks supporting production AI applications.
- Improve AI workflow reasoning quality, reliability, performance, observability, data quality, and operational stability.
- Monitor production systems, resolve reliability and quality issues, and contribute to architecture discussions and technical design reviews.
Requirements
- At least 6 years of software engineering experience.
- Experience developing Python-based production backend systems.
- Experience developing machine-learning, AI, large-scale data-processing, or analytics-platform systems.
- Strong understanding of distributed systems and cloud-native architecture.
- Experience designing APIs and developing scalable services.
- Ability to independently lead projects from requirements definition through production deployment.
Tech Stack
Categories
About Coupang
Coupang builds and operates a South Korea–focused e-commerce marketplace with an end-to-end logistics network (Rocket Delivery), plus food delivery, video streaming, and fintech under brands such as Coupang, Eats, and Play. Revenue comes from first-party retail, third-party marketplace services, advertising, and memberships (Rocket WOW). Founded in 2010, the company is headquartered in Seattle and is publicly listed on the NYSE (CPNG).