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I'm Jin Lee, a Senior AI Fullstack Engineer with 12+ years at Amazon. I started in mobile and web commerce, then moved into product discovery, recommendations, and semantic search to help shoppers find relevant items beyond exact keywords. My focus has been delivering scalable shopping experiences across browse, cart, checkout, and personalization while improving reliability and performance. Recently, I built AI automation platforms for internal operations, using LLMs, retrieval-augmented generation, and full-stack engineering to reduce repetitive manual workflows while keeping reliability, fallback handling, and production safety at the center.…I'm Jin Lee, a Senior AI Fullstack Engineer with 12+ years at Amazon. I started in mobile and web commerce, then moved into product discovery, recommendations, and semantic search to help shoppers find relevant items beyond exact keywords. My focus has been delivering scalable shopping experiences across browse, cart, checkout, and personalization while improving reliability and performance. Recently, I built AI automation platforms for internal operations, using LLMs, retrieval-augmented generation, and full-stack engineering to reduce repetitive manual workflows while keeping reliability, fallback handling, and production safety at the center.

Jin Lee

Full Stack Developer, AI Engineer, Data Scientist, +4

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I'm Jin Lee, a Senior AI Fullstack Engineer with 12+ years at Amazon. I started in mobile and web commerce, then moved into product discovery, recommendations, and semantic search to help shoppers find relevant items beyond exact keywords. My focus has been delivering scalable shopping experiences across browse, cart, checkout, and personalization while improving reliability and performance. Recently, I built AI automation platforms for internal operations, using LLMs, retrieval-augmented generation, and full-stack engineering to reduce repetitive manual workflows while keeping reliability, fallback handling, and production safety at the center.…I'm Jin Lee, a Senior AI Fullstack Engineer with 12+ years at Amazon. I started in mobile and web commerce, then moved into product discovery, recommendations, and semantic search to help shoppers find relevant items beyond exact keywords. My focus has been delivering scalable shopping experiences across browse, cart, checkout, and personalization while improving reliability and performance. Recently, I built AI automation platforms for internal operations, using LLMs, retrieval-augmented generation, and full-stack engineering to reduce repetitive manual workflows while keeping reliability, fallback handling, and production safety at the center.

Available to hire

I’m Jin Lee, a Senior AI Fullstack Engineer with 12+ years at Amazon. I started in mobile and web commerce, then moved into product discovery, recommendations, and semantic search to help shoppers find relevant items beyond exact keywords. My focus has been delivering scalable shopping experiences across browse, cart, checkout, and personalization while improving reliability and performance.

Recently, I built AI automation platforms for internal operations, using LLMs, retrieval-augmented generation, and full-stack engineering to reduce repetitive manual workflows while keeping reliability, fallback handling, and production safety at the center.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Chinese

Intermediate

Work Experience

Senior Software Development Engineer at Amazon

January 1, 2013 - Present

Senior Software Development Engineer at Amazon (2013–present) leading AI-driven automation, semantic search, and product/discovery platforms. I built an end-to-end LLM-powered logistics automation platform (Eluna) using React, TypeScript, Java Spring Boot, Python, Kafka, Kinesis, OpenSearch, Redis, PostgreSQL, Docker, Kubernetes, and AWS to automate internal investigations and AI-assisted exception handling. I designed multi-step AI agent workflows with LangGraph, structured prompts, retrieval-augmented generation, retry policies, and human-in-the-loop escalation. I built operator-facing dashboards and backend services to query distributed order/shipment/inventory systems and orchestrate investigations with observability in mind. I implemented RAG-based knowledge retrieval from SOPs, runbooks, policy documents, and playbooks with embedding pipelines and context assembly, plus robust error handling and auditing. I deployed production-grade AI pipelines with idempotent producers, repla

Senior Software Development Engineer (L6) at Amazon

January 1, 2013 - Present

Designed and deployed LLM-powered agent workflows integrating order, shipment, and warehouse systems; built multi-step agent pipelines using LangGraph, tool calling, and RAG for automated issue investigation; developed Python and Java microservices to define tools, reducing manual investigation time and improving response latency for internal operations; supported internal systems handling large-scale operational queries across distributed services; integrated external Shopify and FedEx carrier APIs for order and shipment visibility; standardized AI-assisted coding with Cursor by defining structured context .md files, reusable prompt templates, and coding guidelines; led cross-functional collaboration with product, data science, and platform teams; designed vector-based semantic search and hybrid retrieval systems to improve product discovery.