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
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