About this AI Integration Engineer role at SMEC
As the AI Integration Engineer for our Integrated Solutions Digital Technology team, you will be the bridge between our Digital Twin platform and enterprise systems, designing and building workflow integrations that bring the Twin to life.
You’ll develop the secure, agentic workflows that enable AI to safely interact with building operations. This is a hands-on engineering role where you’ll build APIs, design automations, and help implement ‘autonomous building’ capabilities under human supervision. You’ll work with significant technical autonomy and the opportunity to shape how AI interacts with critical infrastructure.
Design and implement workflow integrations that connect our Digital Twins to enterprise systems (CMMS, ticketing systems, notification platforms, BMS, SCADA, IoT devices, CCTV analytics, security systems)
Develop Model Context Protocol (MCP) tools that serve as the secure interface allowing large language models to query and update the Digital Twin safely
Build REST APIs that enable agentic workflows to trigger operations, query sensor data, and interact with external systems
Implement automation pipelines that allow our AI agents to safely trigger standard operating procedures, switch presets, launch incident playbooks, and dispatch tasks to external systems
Ensure all workflows follow human-in-the-loop principles, with proper audit trails, permissions, and safeguards for critical operations
Collaborate with our AI Systems Architect, product team, and FM partners to translate business requirements into robust, scalable integrations
Requirements
5+ years of experience in backend or integration engineering, with proven track record building APIs and integration platforms
Hands-on expertise with Code/low-code/no-code integration tools
Strong proficiency in REST API design and implementation (Node.js, Python, Go, or similar)
Experience integrating with enterprise systems: ERP, CMMS, IoT platforms, or building management systems (Honeywell, Johnson Controls, etc.)
Understanding of data standards and protocols relevant to building systems (BACnet, Modbus, MQTT, REST) is a significant advantage
Comfortable with authentication and security best practices (OAuth, API keys, encryption) and audit logging
Excellent communication skills; ability to work across engineering, product, and business teams
Strong problem-solving mindset with a desire to learn new tools and frameworks
Nice to Have
Experience with large language models (LLMs) or AI agents and understanding of how they interact with tools
Prior experience in the built environment, real estate technology, or facility management software
Experience with architectural or design software APIs (Revit, SketchUp, Grasshopper, or 3D platforms)
What We Offer
Strategic impact: Shape how AI augments operations in a S$1.9B firm serving critical infrastructure globally
Technical autonomy: Own your designs, lead implementation, and contribute to architecture decisions
Stability, professional development, and flexible working arrangements
At Surbana Jurong, we put talent, hard work, teamwork and a fun workplace together to approach problems and solve them creatively and collaboratively. Join us in making a positive impact on the world!