Full Stack Automation Engineer
Core
Build and scale AI-native pipelines for Amazon brand management, including LLM communication, sales intelligence, RAG systems, and automated content quality. (via careerplan.io/jobs/c7b76d6f-8d7d-44e1-ac52-28a94da5ec21-full-stack-automation-engineer-at-gigabrands)
Role type
Senior Full Stack Automation Engineer (AI/LLM focus)
Builds
Autonomous AI pipelines, RAG systems, sales intelligence engines, and executive assistant tools for Amazon brand operations.
Domain
E-commerce / AI / LLMs / RAG
Deliverable
production ML models | product features
Required skills
Production LLM deployment, RAG system design, TypeScript, Node.js, React, PostgreSQL, API integrations, Linux server management
Preferred skills
Multi-agent LLM orchestration, Anthropic Claude expertise, Vector search/embeddings, Slack API, Ad platform APIs, LLM observability, Amazon/eCommerce experience
Technologies
TypeScript, Node.js, React, Next.js, n8n, PostgreSQL, AWS Lambda, Terraform, Docker, Amazon SP-API, Slack Bots, Playwright, pgvector, Pinecone
Responsibilities
Build and improve AI pipelines for client performance insights, Improve RAG retrieval quality, Add tool use/function calling for real-time data, Debug classification errors and improve model accuracy, Optimize LLM costs/latency/performance, Build dashboards for AI metrics and usage monitoring
Seniority
Senior, hands-on IC
