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Open nowPosted 86 days ago

Full Stack Automation Engineer

Workable (global search)107,990 open roles

Where
Brazil
Work mode
Remote
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Your applicationOpen nowFull Stack Automation EngineerWorkable (global search) · Brazil
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Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 6 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 86 days ago

Workable (global search) median: 6 days open

The posting

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
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