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

Full Stack Automation Engineer at GigaBrands