AI Automation Engineer (Remote/Hybrid)

Resource Services Group X Pty Ltd

Kuala Lumpur

Hybrid

MYR 150,000 - 210,000

Full time

14 days+
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Benefits offered by this job

Flexible working environment
Direct collaboration with leadership
High-impact, hands-on role

Job summary

Resource Services Group X Pty Ltd seeks an AI Implementation Engineer to transform operational workflows into automated AI solutions within construction and engineering operations. You will focus on reducing manual work, improving reporting, and enabling data-driven decisions across teams.

Ideal candidates will bring hands-on AI agent experience, strong coding skills, and the ability to collaborate with leadership and subject matter experts to deliver scalable automations and knowledge transfer

Qualifications

  • Experience with AI agent tools (e.g., Claude Code, Copilot Agents).
  • Proficiency with Antigravity (Agent Manager, SKILL.md).
  • Experience with Google AI ecosystem (Gemini, Vertex AI, Firebase).
  • Strong coding skills (Python and/or Node.js/TypeScript).
  • APIs integration experience (Google Workspace, Microsoft 365, etc.).
  • Prompt engineering expertise and data pipeline development experience.

Responsibilities

  • Analyze current workflows across operations, project management and reporting.
  • Design and deploy AI agents to automate business tasks.
  • Build data pipelines and automate reporting across systems (e.g., Procore).
  • Collaborate with leadership and SMEs; document solutions for reuse.

Skills

AI workflows
Problem solving
Cross-functional communication
Execution mindset
Stakeholder engagement

Tools

Claude Code
Copilot Agents
Antigravity
Google Gemini
Vertex AI
Firebase
Procore
Aconex
Pinecone
Weaviate
Git

Job description

Resource Services Group X Pty Ltd seeks an AI Implementation Engineer to transform operational workflows into automated AI solutions within construction and engineering operations. You will focus on reducing manual work, improving reporting, and enabling data-driven decisions across teams.

Ideal candidates will bring hands-on AI agent experience, strong coding skills, and the ability to collaborate with leadership and subject matter experts to deliver scalable automations and knowledge transfer

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