Agentic AI Engineer

Oxydata Software Sdn Bhd

Selangor

Hybrid

MYR 120,000 - 180,000

Full time

14 days+

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Job summary

Oxydata Software Sdn Bhd in Petaling Jaya, Selangor, Malaysia, seeks an experienced Agentic AI Engineer to lead the design and implementation of multi-agent AI systems. The role is hybrid with permanent employment and offers the chance to work on cutting-edge AI products for regional clients.

You will design agentic pipelines, manage inter-agent communication, and deploy with robust observability. Requires hands-on with LangGraph, CrewAI, N8N, and FastAPI.

Qualifications

  • Bachelor's degree in CS, SE, AI or related field.
  • 1–4 years of production AI/ML engineering experience.
  • Hands-on with LangGraph and/or CrewAI.
  • Experience with N8N workflow design/deployment.
  • Proficient in Python; comfortable with JS.

Responsibilities

  • Design and implement multi-agent pipelines using LangGraph and CrewAI.
  • Define agent roles, tasks, and inter-agent communication.
  • Develop supervisor/worker agent architectures for complex reasoning.
  • Build production workflows with N8N and integrate AI agents into business processes.
  • Expose agent capabilities via FastAPI endpoints for frontends and external systems.

Skills

Python
LLM-based systems
Distributed systems
API design
Git

Education

Bachelor's degree in CS/SE/AI

Tools

LangGraph
CrewAI
N8N
GPT Vision
FastAPI
Docker

Job description

Employment type: Permanent

We are seeking an experienced Agentic AI Engineer to lead the design and implementation of cutting-edge multi-agent AI systems.

Agentic AI Engineer

Location: Petaling Jaya, Selangor, Malaysia Work Mode: Hybrid

Employment type: Permanent

Oxydata Software Sdn Bhd is a Malaysian-owned IT company established in 2012, helping regional enterprises drive digital transformation through GenAI Services, AI Training, and IT Managed Services, leveraging Microsoft and Google platforms, open source, and modern JavaScript frameworks. We are a lean, high-impact team where engineers work directly on cutting-edge AI products serving enterprise clients across Malaysia and the region.

We are seeking an experienced Agentic AI Engineer to lead the design and implementation of cutting-edge multi-agent AI systems.

Responsibilities
  • Design and implement multi-agent pipelines using LangGraph and CrewAI.
  • Define agent roles, decompose tasks, manage inter-agent communication, and oversee state management.
  • Develop supervisor/worker agent architectures for complex reasoning tasks.
  • Build production automation workflows using N8N, integrating AI agents into broader business processes.
  • Implement tool-calling agents with access to APIs, databases, and file systems.
  • Integrate GPT Vision for document parsing and visual data extraction.
  • Deploy agentic systems on self-hosted VPS infrastructure, ensuring observability and error handling.
  • Expose agent capabilities via FastAPI endpoints for frontend and external system integration.
Requirements

Must-have:

  • Bachelor's degree in Computer Science, Software Engineering, AI, or related field.
  • 1-4 years of experience in AI/ML engineering with hands-on production experience in agentic or LLM-based systems.
  • Demonstrated production experience with LangGraph and/or CrewAI.
  • Hands-on experience with N8N workflow design and deployment.
  • Proficiency with GPT Vision or equivalent for image/document understanding.
  • Strong Python skills; comfortable reading JavaScript.
  • Experience with OpenAI API, Claude API, function calling, tool use, and structured outputs.
  • Expertise in system prompts, chain-of-thought, ReAct patterns, and output formatting.
  • Knowledge of embeddings, vector search, and retrieval grounding as agent tools.
  • Experience with FastAPI for exposing agent capabilities as APIs.
  • Proficiency with Git, VPS/cloud deployment, basic Linux administration, and error handling for async workflows.
  • Eligibility: Malaysian Only.

Nice-to-have:

  • Experience with LangChain or LlamaIndex for knowledge-base construction.
  • Development of MCP (Model Context Protocol) servers.
  • Familiarity with AI-assisted development tools like Cursor or GitHub Copilot.
  • Experience with Docker for containerized agent deployment.
  • Knowledge of CI/CD pipelines for agent workflow testing and deployment.
  • Basic frontend skills with React.js for building simple agent UIs or dashboards.
  • Experience with structured output validation using Pydantic or similar libraries.
Why Join Us
  • Be part of a dynamic team at the forefront of AI innovation, working on projects that revolutionize business process automation.
  • Enjoy a collaborative environment where your contributions are valued, and you have the opportunity to grow and advance your career in AI engineering.
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