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 Responsibilities2. AI Agent Development & Integration3. Reporting & Data Automation4. Collaboration & Knowledge TransferTechnical 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, 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
