Remote AI Automation Engineer: Build AI Agents & Workflows

HyreUp; Quezon City; Hybrid; PHP 5,625,000 - 8,750,000; Full time

Benefits offered by this job

Performance-based raises

Minimum 5 days off annually

Annual cost-of-living adjustments

Job summary

HyreUp is seeking an AI Automation Engineer to design and deploy AI agents and automation workflows. You will build with React and TypeScript, integrating AI models and third-party APIs into production.

This remote role requires strong coding skills, experience with n8n, GitHub, and cloud deployments. Ideal candidates have 2-4+ years in software engineering focused on AI agents, and a proactive mindset to bridge concept to deployment across US business hours.

Qualifications

• 2–4+ years of software engineering experience with a focus on AI agents.
• Proficient in React and TypeScript; capable with n8n for automation workflows.
• Hands-on GitHub version control experience.
• Experience deploying ML models on cloud platforms (AWS, GCP or Azure).
• Self-motivated, able to bridge concept to production decisions.
• Remote-friendly setup with reliable home office and internet.

Responsibilities

• AI Agent Development: design, create, and deploy robust AI agents for automated workflows.
• Workflow Automation: build and optimize automation pipelines using n8n.
• Full-Stack Integration: use React/TypeScript to integrate AI models and APIs into applications.
• Version Control & Collaboration: manage code with GitHub and collaborate with the team.
• Deployment & Optimization: deploy solutions to production and monitor performance.

Skills

AI agent development

Workflow automation

Full-stack integration

Self-motivation

Team collaboration

Tools

React

TypeScript

n8n

GitHub

AWS / GCP / Azure

Job description

HyreUp is seeking an AI Automation Engineer to design and deploy AI agents and automation workflows. You will build with React and TypeScript, integrating AI models and third-party APIs into production.

This remote role requires strong coding skills, experience with n8n, GitHub, and cloud deployments. Ideal candidates have 2-4+ years in software engineering focused on AI agents, and a proactive mindset to bridge concept to deployment across US business hours.