Full Stack Automation Engineer

GigaBrands

Full Stack Automation Engineer building AI-powered infrastructure covering everything from pipelines to dashboards. High ownership role requiring strong skills in AI and production systems.

Posted 7/10/2026full-timeRemote • 🇧🇷 BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and optimizing AI pipelines, with a focus on production LLM systems and RAG retrieval techniques. Proficient in TypeScript, Node.js, and React, with strong capabilities in database management and API integrations.

Highest-signal resume keywords

Production LLM ExperienceRAG System ExperienceTypeScript / Node.jsStrong React SkillsPostgreSQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Production LLM ExperienceRAG System ExperienceTypeScriptNode.jsReactPostgreSQLAPI IntegrationsLinux Server ExperienceMulti-Agent LLM SystemsVector Search and Embeddings

Tools & Technologies

Slack APIAd Platform APIsAI-Assisted Dev ToolsClaudeOpenAIPgvectorPinecone

Industry Keywords

AI PipelinesRAG RetrievalObservabilityCost TrackingEcommerce

Tech Stack

Tools & technologies

AWSDockerJavaScriptLinuxNode.jsPostgresReactTerraformTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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
Multi-agent LLM systems and orchestration (Strong Pluses)
Anthropic Claude expertise (prompt engineering, tool use, system prompts) (Strong Pluses)
Vector search and embeddings (pgvector, Pinecone, or similar) (Strong Pluses)
Slack API and bot development (Strong Pluses)
Ad platform APIs (Meta, Google, LinkedIn) (Strong Pluses)
LLM observability — cost tracking, tracing, monitoring (Strong Pluses)
Amazon / eCommerce experience (Strong Pluses)
AI-assisted dev tools (Cursor, Claude Code, etc.) (Strong Pluses)

Benefits

Comp & perks

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