Full Stack Automation Engineer
RemoteBrazil
BrazilRemoteFull TimeSmall
Full TimeSmall
Job Summary
Full Stack Automation Engineer for an AI-native platform powering Amazon-brand management. You will build and scale AI pipelines for client performance insights, improve RAG retrieval quality, add tool use and real-time data access in LLM workflows, debug classification errors, optimize costs and latency, and create dashboards and observability for AI metrics. Required tech: TypeScript, Node.js, React/Next.js, PostgreSQL, REST/OAuth/webhooks, Linux. Nice-to-have: AWS Lambda, Terraform, Docker, vector-search tooling, Slack bot development, and multi-agent LLM orchestration.
Required Qualifications
- 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
- Core: TypeScript · Node.js · React / Next.js · n8n · PostgreSQL · CI/CD · Claude Code
- Nice to have: AWS Lambda · Terraform · Docker · Amazon SP-API · Slack Bots · Playwright
- 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
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