AI Implementation Engineer

Resource Services Group X Pty Ltd; Kuala Lumpur; Hybrid; MYR 150,000 - 210,000; Full time

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

Job Title: AI Implementation Engineer
Department: Construction & Engineering Operations
Level: Mid-Senior
Employment Type: Full-Time (Remote/Hybrid)
Reports To: COO / Leadership

Role Overview

The AI Implementation Engineer is responsible for transforming business workflows into practical AI-driven automation solutions. This role focuses on solving real operational problems by reducing manual work, improving reporting, and enabling data-driven decision-making across construction and engineering operations.

Key Responsibilities

1. Workflow Analysis & Automation Design

• Analyse and document existing workflows across operations, project management, and reporting
• Identify high-impact areas for automation (manual effort, errors, delays)
• Design simple, effective automation solutions

2. AI Agent Development & Integration

• Build and deploy AI agents to automate business tasks
• Integrate AI solutions with tools like Google Workspace, Microsoft 365, CRMs, and project platforms
• Develop prompt libraries and structured AI workflows
• Create document processing pipelines for data extraction and routing

3. Reporting & Data Automation

• Automate operational and project reporting
• Build data pipelines connecting systems like Procore to structured outputs
• Implement basic RAG (retrieval-augmented generation) solutions

4. Collaboration & Knowledge Transfer

• Work closely with leadership and subject matter experts
• Document solutions for internal use and scalability
• Support knowledge transfer and handover of automations to internal teams

Technical Requirements

Required:

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

Preferred:

• Experience with RAG and vector databases (e.g., Pinecone, Weaviate)
• Familiarity with construction/engineering tools (e.g., Procore, Aconex)
• Ability to build simple internal dashboards
• Git/version control knowledge

Ideal Candidate Profile

• Strong problem-solving mindset with a focus on workflows
• Able to bridge technical and non-technical communication
• Practical and execution-focused (delivers working solutions quickly)
• Interested in applying AI to traditional industries
• Collaborative and proactive in engaging stakeholders

Success Metrics

First 30 Days:

• Understand key workflows
• Identify automation opportunities
• Deliver at least one working solution

First 90 Days:

• Deploy multiple automations
• Improve reporting processes
• Develop AI implementation roadmap

12 Months:

• Scale AI across multiple business functions
• Improve efficiency and accuracy of operations
• Establish internal capability for AI adoption

What We Offer

• Direct collaboration with leadership
• Opportunity to drive AI transformation
• Flexible working environment
• High-impact, hands-on role