Junior AI Agent Engineer (n8n Core, NodeJS, Python)

Level Icon Level

Junior

Location Icon Location

Hanoi

Type Icon Type

Full time

Salary Icon Salary

8 - 15 million VND/month

Apply for this job

PDF File Only
Max File size: 5MB

Job description:

MediaX is Vietnam's leading provider of AI solutions. We develop AI products and services that empower organizations and enterprises to leverage automation, data analytics, and intelligent virtual assistants

  • Support design & development of AI agents for businesses (Content Engine, Chatbot, Review Treatment)
  • Build workflow automation for quick demo phase (7-10 days)
  • Support design & implementation of AI agents (tooling, function-calling, short-term memory, basic RAG).
  • Build and operate workflow using n8n (queue, retry, pagination).
  • Integration with popular APIs: Gmail, Google Sheets/Drive, Telegram/Slack, Meta Graph, Web Scraper.
  • Write simple guardrails (regex, validators) and participate in HITL approval (via Telegram/Email).
  • System monitoring: logging, tracing, cost and performance (will be guided).
  • Write documentation and assist in handover to customers/support team.

Your skills and experience:

  • Basic knowledge of Node.js or Python.
  • Understands how to work with APIs (REST, Webhooks).
  • Has prior experience with or is willing to learn n8n (or similar automation tools).
  • Knowledge of AI/LLM/RAG is an advantage, but not required.
  • Meticulous, eager to learn, organized thinking, and clear communication.

Why you'll love working here?

  • Receive direct training & mentorship from the MediaX AI development team.
  • Opportunity to work with new technologies: AI Agents, LLMs, workflow automation.
  • Participate in real client projects, experiencing the full process from design to implementation.
  • A young, dynamic startup environment that encourages learning and personal development.

How to Apply:

  • Please provide your resume and a cover letter describing your expertise in AI Agents. Include any projects or demos that highlight your hands-on experience in building or integrating intelligent agent technologies.