Full Stack Automation Engineer
At GigaBrands · Colombia
- Engineering
- Full-time
Where you can work from
Open to Colombia
“Colombia”
From the location.
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- Posted
- 10 July 2026
- First seen by us
- 9 October 2026
- Last checked
- 4 hours ago
Job description
From GigaBrands’s job post, as they wrote it.
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
Read the full description
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
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