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…