About the role
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
Originally posted on Himalayas