Agentic AI Engineer: Enterprise Automation & Multi-Agent

Oxydata Software Sdn Bhd; Petaling Jaya; Hybrid; MYR 120,000 - 180,000; Full time

Job summary

Oxydata Software Sdn Bhd in Petaling Jaya, Malaysia, is hiring an Agentic AI Engineer to design and implement multi-agent AI systems for enterprise automation. The role targets professionals with 1–4 years of AI/ML engineering experience and hands-on work with LangGraph/CrewAI, N8N, and GPT Vision.

The position offers a permanent, hybrid arrangement with opportunities to deploy on self-hosted VPS and expose capabilities via FastAPI. Strong Python skills and proficiency in LLM APIs are required.

Qualifications

• Bachelor's degree in CS or related field.
• 1–4 years in AI/ML engineering with production experience in agentic or LLM-based systems.
• Hands-on experience with LangGraph and/or CrewAI.
• Proficiency in Python and reading JavaScript; strong prompt engineering.

Responsibilities

• Design and implement multi-agent pipelines with defined roles and communication.
• Develop supervisor/worker agent architectures for complex reasoning tasks.
• Build and deploy N8N automation workflows with triggers and data transforms.
• Integrate AI agents into larger business process automations with human-in-the-loop checkpoints.
• Implement tool-calling agents with API access and build custom tools.
• Expose agent capabilities via FastAPI endpoints and ensure observability.

Skills

Python

Prompt engineering

LLM APIs

API integration

Debugging

Education

Bachelor’s degree in Computer Science or related field

Tools

LangGraph

CrewAI

N8N

GPT Vision

FastAPI

OpenAI API

Claude API

Git

Docker

React.js

Linux

VPS/Cloud deployment

Job description

Oxydata Software Sdn Bhd in Petaling Jaya, Malaysia, is hiring an Agentic AI Engineer to design and implement multi-agent AI systems for enterprise automation. The role targets professionals with 1–4 years of AI/ML engineering experience and hands-on work with LangGraph/CrewAI, N8N, and GPT Vision.

The position offers a permanent, hybrid arrangement with opportunities to deploy on self-hosted VPS and expose capabilities via FastAPI. Strong Python skills and proficiency in LLM APIs are required.