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Full Stack Automation Engineer
Location
Worldwide
Posted
1 day ago
Salary
0
Seniority
Mid Level
Job Description
Full Stack Automation Engineer
GigaBrands
Role Description We've built an AI-native internal platform that powers every aspect of our Amazon brand management business. AI isn't a feature — it's the backbone. - LLMs classify and respond to inbound communications - AI generates pre-call intelligence briefs from raw enrichment data - A RAG system feeds context into every generation pipeline - An AI checkpoint system audits all generated content against quality gates The platform is already live and scaling fast: - 17+ background services - 130+ frontend pages - 214 backend services - 184 database tables - Dozens of autonomous AI pipelines Qualifications - Production LLM experience — Claude or OpenAI deployed in real, live systems - RAG system experience — embeddings, retrieval, chunking, and context handling - 3+ years TypeScript / Node.js - Strong React skills (component architecture, state management, performance) - PostgreSQL — queries, migrations, indexing, query optimisation - API integrations — REST, OAuth, webhooks - Linux server experience — SSH, log analysis, debugging, deployments - Multi-agent LLM systems and orchestration - Anthropic Claude expertise (prompt engineering, tool use, system prompts) - Vector search and embeddings (pgvector, Pinecone, or similar) - Slack API and bot development - Ad platform APIs (Meta, Google, LinkedIn) - LLM observability — cost tracking, tracing, monitoring - Amazon / eCommerce experience - AI-assisted dev tools (Cursor, Claude Code, etc.) Requirements - Build and improve AI pipelines for client performance insights - Improve RAG retrieval quality (re-ranking, chunking, hybrid search) - Add tool use / function calling for real-time data in LLM pipelines - Debug classification errors and improve model accuracy - Optimize LLM costs, latency, and performance - Build dashboards for AI metrics and usage monitoring - Add observability and tracing to AI pipelines - Expand content quality systems to new formats and use cases Benefits - Competitive salary based on experience - High-impact role with genuine ownership over systems that matter - Full time remote role - Work directly on one of the most advanced AI-native business platforms in the Amazon space - A team that moves fast, thinks big, and holds a high bar - PTO after successfully completed probationary period
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