Middleware Engineer (AI Automation)

TL;DR

Middleware Engineer (AI Automation): Design and deploy AI-powered automation workflows and intelligent systems using low-code platforms and LLMs with an accent on API integrations, data pipelines, and prompt engineering. Focus on building multi-step LLM orchestration, optimizing operational ROI, and implementing RAG-based semantic search.

Location: Remote (Latin America)

Company

Global digital services company specializing in software solutions across Supply Chain, Healthtech, Collaboration Tech, and Gaming.

What you will do

• Design and deploy AI-powered automation workflows using low-code platforms (n8n, Tray.ai, Make) and custom JavaScript.
• Build intelligent systems utilizing LLMs (OpenAI, Claude) for decision-making, data extraction, and process automation.
• Create and maintain integrations between internal systems and third-party platforms using REST APIs, webhooks, and event-driven architectures.
• Develop data pipelines to transform, enrich, and route information across multiple systems and data sources.
• Implement prompt engineering strategies and design complex multi-step LLM orchestration workflows.
• Monitor automation health, debug failures, and optimize workflows for reliability and cost-efficiency.

Requirements

• Must be based in Latin America.
• 5+ years of commercial experience as a Full-stack or Backend Developer.
• 3+ years of professional experience building integrations, automations, or workflow systems.
• Strong proficiency with low-code/no-code automation platforms (n8n, Tray.ai, Zapier, Make, or similar).
• Solid JavaScript skills for custom functions and automation logic.
• English: Upper-Intermediate (B2) level required for communication with international teams.

Nice to have

• Experience building AI agents using LangChain, CrewAI, or AutoGen.
• Python scripting for data processing, API integration, or ETL workflows.
• Knowledge of vector databases and semantic search for RAG implementations.
• Experience with freight, logistics, or supply chain systems.
• Familiarity with cloud platforms (AWS, Azure, GCP) and serverless architectures.

Culture & Benefits

• Remote-first mode with flexible working hours and hybrid team options.
• Competitive compensation and complete hardware/software setup.
• Comprehensive health insurance, paid vacation, sick leaves, and parental leave.
• Access to a learning & development center, including global certification prep (AWS, Scrum, etc.) and Udemy/Pluralsight courses.
• Open-door culture with transparent communication and virtual team-building activities.