AI Implementation Engineer

RSGx; Kuala Lumpur; Hybrid; MYR 120,000 - 180,000; Full time

Job summary

RSGx is seeking an AI Implementation Engineer to automate workflows, build AI agents, and enhance reporting across construction operations. This mid-senior, full-time role offers a remote/hybrid arrangement and reports to the COO/leadership.

You will transform business processes into AI-driven automation solutions and reduce manual work while improving data-driven decision-making. Responsibilities include workflow analysis, AI agent development, data pipelines, and integrated reporting.

Qualifications

• Experience with AI agent tools (Claude Code, Copilot Agents).
• Proficiency 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 and data pipeline development.

Responsibilities

• Transform business workflows into practical AI-driven automation solutions.
• Reduce manual work, improve reporting, and enable data-driven decisions across construction and engineering operations.
• Design, build, and deploy AI agents to automate business tasks.
• Integrate AI with tools like Google Workspace, CRMs, and project platforms; create prompt libraries and AI workflows.
• Develop document processing pipelines for data extraction and routing.

Skills

AI workflow

Automation

AI agents

Python

Node.js/TypeScript

API integration

Prompt engineering

Data pipelines

Git

Tools

Claude Code

Copilot Agents

Antigravity (Agent Manager)

Google Gemini

Vertex AI

Firebase

Python

Node.js/TypeScript

Google Workspace API

Microsoft 365 API

Procore

Aconex

Pinecone

Weaviate

Git

Job description

AI Implementation Engineer to automate workflows, build AI agents, and enhance reporting across construction operations.

07th September, 2026

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)

07th September, 2026

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