Senior AI Agent & Workflow Engineer

Hyre; Bogotá ciudad; A distancia; COP 24.000.000 - 42.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Five paid days off per year

Annual cost‑of‑living adjustments

Descripción de la vacante

Hyre is seeking an innovative AI Automation Engineer to design and deploy AI Agents and intelligent automation workflows. You will leverage n8n, React, and TypeScript to translate data into production-ready features that drive business value.

Responsibilities include building automated pipelines, integrating AI models with clean JS/TS code, and collaborating with engineering using GitHub. A strong foundation in cloud deployment and MLOps principles is preferred.

Formación

• 3-5+ years in software engineering with a focus on AI Agents and automation.
• Solid coding experience using React and TypeScript.
• Demonstrated knowledge of n8n for automation workflows.
• Version control experience with GitHub.
• Experience deploying AI/ML models on cloud platforms (AWS/Google Cloud/Azure).

Responsabilidades

• AI Agent Development: Design, create, and deploy robust AI Agents for automated workflows.
• Workflow Automation: Build and optimize automation pipelines with n8n.
• Full-Stack Integration: Use React and TypeScript to integrate AI models and third‑party APIs.
• Version Control & Collaboration: Manage codebases and collaborate via GitHub.
• Deployment & Optimization: Deploy AI solutions to production and tune performance.

Conocimientos

AI Agents

React

TypeScript

n8n

GitHub

Herramientas

React

TypeScript

n8n

GitHub

Cloud Platforms

Descripción del empleo

Hyre is seeking an innovative AI Automation Engineer to design and deploy AI Agents and intelligent automation workflows. You will leverage n8n, React, and TypeScript to translate data into production-ready features that drive business value.

Responsibilities include building automated pipelines, integrating AI models with clean JS/TS code, and collaborating with engineering using GitHub. A strong foundation in cloud deployment and MLOps principles is preferred.