Oxydata Software Sdn Bhd is a Malaysia Digital-certified AI and data engineering company founded in 2006. We design and deploy production AI systems for enterprise clients across financial serviceshuman resource energy and telecommunications. We are now expanding our Agentic AI practice building autonomous multi-step AI workflows that go beyond single-prompt responses to deliver real business process automation.
The Role
We are looking for an Agentic AI Engineer to lead the design and implementation of multi-agent AI systems across our product and client delivery portfolio. This role is not about building dashboards it is about architecting autonomous AI workflows that reason plan use tools and execute multi-step tasks with minimal human intervention. You will work in a small senior team using AI-assisted development tools as standard practice.
What Youll Build
Multi-Agent Orchestration
Design and implement multi-agent pipelines using LangGraph and CrewAI
Agent role definition task decomposition inter-agent communication and state management
Supervisor/worker agent architectures for complex multi-step reasoning tasks
Workflow Automation
Build production automation workflows using N8N triggers conditionals API calls data transforms
Integrate AI agents into broader business process automation pipelines
Design human-in-the-loop checkpoints for workflows requiring approval or escalation
Tool Use & Function Calling
Implement tool-calling agents with access to APIs databases search and file systems
Build custom tools and MCP (Model Context Protocol) servers for agent consumption
Memory management short-term long-term and episodic memory for persistent agents
Multimodal AI
GPT Vision integration for document parsing screenshot analysis and visual data extraction
Multimodal pipelines combining text image and structured data inputs
RAG & Knowledge Retrieval
Integrate RAG pipelines as retrieval tools within agentic workflows
Vector search (pgvector Pinecone or similar) for agent knowledge grounding
Prompt engineering for agent personas reasoning chains and output formatting
Production Deployment
Deploy agentic systems on self-hosted VPS infrastructure
Observability logging and failure handling for long-running agent workflows
API endpoints (FastAPI) exposing agent capabilities to frontend and external systems
Must-Haves
Education: Bachelors in Computer Science Software Engineering AI or related field
Experience: 14 years in AI/ML engineering with hands-on production experience in agentic or LLM-based systems
Agentic Frameworks: Demonstrated production experience with LangGraph and/or CrewAI
Workflow Automation: Hands-on N8N workflow design and deployment
Multimodal AI: GPT Vision or equivalent for image/document understanding
Oxydata Software Sdn Bhd Location: Petaling Jaya Selangor Work Mode: Hybrid Contract Type: Full-time Employment Eligibility: Malaysian Only About Oxydata Oxydata Software Sdn Bhd is a Malaysia Digital-certified AI and data engineering company founded in 2006. We design and deploy production AI s...
Oxydata Software Sdn Bhd
Location: Petaling Jaya Selangor
Work Mode: Hybrid
Contract Type: Full-time Employment
Eligibility: Malaysian Only
About Oxydata
Oxydata Software Sdn Bhd is a Malaysia Digital-certified AI and data engineering company founded in 2006. We design and deploy production AI systems for enterprise clients across financial serviceshuman resource energy and telecommunications. We are now expanding our Agentic AI practice building autonomous multi-step AI workflows that go beyond single-prompt responses to deliver real business process automation.
The Role
We are looking for an Agentic AI Engineer to lead the design and implementation of multi-agent AI systems across our product and client delivery portfolio. This role is not about building dashboards it is about architecting autonomous AI workflows that reason plan use tools and execute multi-step tasks with minimal human intervention. You will work in a small senior team using AI-assisted development tools as standard practice.
What Youll Build
Multi-Agent Orchestration
Design and implement multi-agent pipelines using LangGraph and CrewAI
Agent role definition task decomposition inter-agent communication and state management
Supervisor/worker agent architectures for complex multi-step reasoning tasks
Workflow Automation
Build production automation workflows using N8N triggers conditionals API calls data transforms
Integrate AI agents into broader business process automation pipelines
Design human-in-the-loop checkpoints for workflows requiring approval or escalation
Tool Use & Function Calling
Implement tool-calling agents with access to APIs databases search and file systems
Build custom tools and MCP (Model Context Protocol) servers for agent consumption
Memory management short-term long-term and episodic memory for persistent agents
Multimodal AI
GPT Vision integration for document parsing screenshot analysis and visual data extraction
Multimodal pipelines combining text image and structured data inputs
RAG & Knowledge Retrieval
Integrate RAG pipelines as retrieval tools within agentic workflows
Vector search (pgvector Pinecone or similar) for agent knowledge grounding
Prompt engineering for agent personas reasoning chains and output formatting
Production Deployment
Deploy agentic systems on self-hosted VPS infrastructure
Observability logging and failure handling for long-running agent workflows
API endpoints (FastAPI) exposing agent capabilities to frontend and external systems
Must-Haves
Education: Bachelors in Computer Science Software Engineering AI or related field
Experience: 14 years in AI/ML engineering with hands-on production experience in agentic or LLM-based systems
Agentic Frameworks: Demonstrated production experience with LangGraph and/or CrewAI
Workflow Automation: Hands-on N8N workflow design and deployment
Multimodal AI: GPT Vision or equivalent for image/document understanding