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 services,human 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 You'll 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: Bachelor's in Computer Science, Software Engineering, AI, or related field
Experience: 1–4 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
Language: Python (primary); comfortable reading JavaScript
LLM APIs: OpenAI API, Claude API, function calling, tool use, structured outputs
Prompt Engineering: System prompts, chain-of-thought, ReAct patterns, output formatting
RAG Fundamentals: Embeddings, vector search, retrieval grounding — as agent tools
Backend: FastAPI for exposing agent capabilities as APIs
DevOps: Git, VPS/cloud deployment, basic Linux administration, error handling for async workflows

Nice-to-Haves

LangChain or LlamaIndex for knowledge-base construction
MCP (Model Context Protocol) server development
Experience with AI-assisted development tools (Cursor, GitHub Copilot)
Docker for containerised agent deployment
CI/CD pipelines for agent workflow testing and deployment
React.js — basic frontend ability to build simple agent UIs or dashboards
Experience with structured output validation (Pydantic, instructor library)

What We Offer

Be among the first engineers in Malaysia building production-grade Agentic AI systems
Work on real client deployments — not internal tools or proofs of concept
AI-first development culture — Cursor and Claude are standard tools, not novelties
Small, senior team — high ownership, direct impact, no bureaucracy
Competitive compensation commensurate with experience

How To Apply

Submit your CV via our careers page: https://oxydata.ai/careers

#AgenticAI #LangGraph #CrewAI #N8N #GPTVision #MultiAgent #AIEngineer #GenerativeAI #Malaysia #Hiring #Oxydata

Agentic AI Engineer (MY)