Full Stack Automation Engineer

Sobre a oportunidade

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