Full Stack Automation Engineer

WHO WE ARE 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 OUR CORE VALUES Be A Moral Human Serve a higher purpose. Everything we build and every decision we make is grounded in doing the right thing. Improve 1% Daily Strive for 1% better every day. Consistent, compounding improvement is how we build world-class systems and teams. Extreme Ownership Own your actions. No excuses, no hand-offs as a crutch. If it's in your world, it's your responsibility. Solve Problems, Don't Create Them Every challenge has a solution. Don't slow down the team by creating new problems — come with answers, not blockers. Make an Impact Focus on meaningful results. We measure success by the difference we make, not the hours we log. Fail Fast & Fail Forward Don't be afraid to fail. Take that failure, learn from it, and move forward stronger. Every failure is a lesson. WHAT YOU'LL BUILD & SCALE AI Communication Pipelines
• Classify inbound messages by category, intent, urgency, and tone
• Generate contextual responses using enrichment data
• Implement and tune human approval gates AI-Powered Sales Intelligence
• Transform raw enrichment data into structured pre-call briefs
• Generate backgrounds, pain hypotheses, talking points, and rapport hooks RAG System
• Maintain and improve the vector database with embeddings
• Implement markdown-aware chunking strategies
• Build async ingestion workers and semantic search APIs Trend Intelligence Engine
• Process RSS feeds, social media, video platforms, and search trends
• Generate reports, forecasts, and content drafts
• Run autonomously on scheduled jobs Content Quality Pipeline
• Extend the multi-agent system (outline → audit → generate)
• Maintain binary quality gates (PASS/FAIL with citations)
• Support multiple content formats across the pipeline Automated Lead Qualification
• Enrich leads with product data and market insights
• Build AI scoring and qualification grading systems
• Generate automated audit reports AI Executive Assistant
• Build and maintain Slack-integrated operations
• Automate scheduling workflows
• Triage and respond to email autonomously Requirements DAY-TO-DAY RESPONSIBILITIES
• 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 TECH STACK Core: TypeScript
• Node.js
• React / Next.js
• n8n
• PostgreSQL
• CI/CD
• Claude Code Nice to have: AWS Lambda
• Terraform
• Docker
• Amazon SP-API
• Slack Bots
• Playwright QUALIFICATIONS Required:
• 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 Strong Pluses:
• 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.) WHAT WE OFFER
• 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 Benefits WHAT WE OFFER
• 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