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
We're hiring an engineer who operates at the intersection of AI and production systems. You'll build, optimize, and scale AI-powered infrastructure across the full stack.
What You'll Build & Scale
AI Communication Pipelines
• Classify inbound messages by category, intent, urgency, and tone
• Generate contextual responses using enrichment data
• Implement human approval gates
AI-Powered Sales Intelligence
• Transform raw enrichment data into structured pre-call briefs
• Generate:
background, pain hypotheses, talking points, rapport hooks
RAG System
• Vector database with embeddings
• Markdown-aware chunking
• Async ingestion workers
• Semantic search API
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
• Multi-agent system (outline → audit → generate)
• Binary quality gates (PASS/FAIL with citations)
• Supports multiple content formats
Automated Lead Qualification
• Enrich leads with product data and market insights
• AI scoring and qualification grading
• Automated audit reports