_{01st April, 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

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