AI Engineer

Overview

Role involves architecting and optimizing AI-driven agent workflows.

Ideal candidate has 3+ years in AI/ML engineering with hands-on experience in LLM-based systems.

Locations

• LATAM

Requirements

• 3+ years in AI/ML engineering
• Hands-on with LangChain or similar
• Experience with Docker and Kubernetes

Responsibilities

• Design and deploy AI agent workflows
• Implement MCP for agent-tool interactions
• Build A2A systems for task automation
• Define production-ready pipelines
• Benchmark and select suitable LLMs
• Design RAG architectures
• Optimize prompts and outputs
• Set up monitoring dashboards

Benefits

• Remote work with hardware provided
• Global team experience
• Competitive USD compensation
• Training and learning stipends
• Paid Time Off