# Full Stack Automation Engineer

> GigaBrands · Brazil (Remote) · Full-time · Posted 2026-07-10

**Workplace:** remote

**Department:** Information Technology

## Description

We're hiring a 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
-   3+ 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
-   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

## Apply

[Apply at GigaBrands](https://apply.workable.com/gigabrands/j/567B55280A/apply)

---
Powered by [Workable](https://www.workable.com)