RSGx Hiring! Full Time AI Implementation Engineer in Federal Territory - Ricebowl

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 2. AI Agent Development & Integration 3. Reporting & Data Automation 4. Collaboration & Knowledge Transfer Technical Requirements

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

Required

• Experience with AI agent tools (e.g., Claude Code, Copilot Agents)
• Proficiency in Antigravity (Agent Manager, *************)
• 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