Full Stack Automation Engineer

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