Junior Full Stack Automation Engineer

We're hiring a Junior Full Stack Automation Engineer who operates at the intersection of AI and production systems. You'll build, optimize, and scale AI-powered infrastructure across the full stack — from LLM pipelines and RAG systems to dashboards and background workers. This is a high-ownership role. You won't be handed tickets. You'll be handed problems and trusted to solve them.
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

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

Requirements
Required:

Production LLM experience — Claude or OpenAI deployed in real, live systems

RAG system experience — embeddings, retrieval, chunking, and context handling

2+ years TypeScript / Node.js

2-3 years building end-to-end production systems spanning backend services, AI pipelines, and frontend dashboards

Bachelor's degree in Computer Science

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

AWS Lambda, Terraform, and Docker experience

Available during Eastern Time business hours

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

AI-assisted dev tools (Cursor, Claude Code, etc.)

Benefits
WHAT WE OFFER

High-impact role with genuine ownership over systems that matter

Salary from $2,500 - $3,500

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