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