Kenyon provides multi-trade services to the Bio-pharmaceutical industry, semiconductor plants, ultra-high purity gas industry and for high-end corporation fitting-out projects.

Our annual gross revenue is in excess of S$200 million and we have more than 500 staff in Singapore.

Kenyon Pte Ltd is located at the Kenyon Building, No. 8 Loyang Crescent, Singapore 509016.

Website : www.kenyon.com.sg

Role Summary:

We are seeking an Agentic AI Engineer to design, develop and deploy autonomous AI agents that optimize office fit-out workflows. You will build multi-agent systems capable of reasoning through complex installation sequences, managing BIM (Building Information Modeling) data, and coordinating real-time site adjustments.

You will be an active work flow coordinating member of our multi-trade engineering team by turning actual work sequence workflows and translating into Agentic Al and its related tools programming.

Job Description & Responsibilities

• Architect Multi-Agent Systems: Design multi-agent orchestration patterns (e.g., using LangGraph or CrewAI) to handle task planning, conflict resolution, and execution in fit-out projects.
• Domain-Specific Tool Integration: Connect agents to specialized tools such as AutoCAD/Revit APIs, procurement databases, and building code knowledge bases.
• RAG & Knowledge Retrieval: Build Retrieval-Augmented Generation (RAG) pipelines to ground agent decisions in official construction standards and project-specific documentation.
• Safety & Compliance: Implement rigorous guardrails and human-in-the-loop (HITL) checkpoints to ensure AI-generated installation plans meet safety and regulatory standards.

Academic and Skills Requirements:

• Bachelor's degree in Computer Science, Artificial Intelligence, or equivalent.
• Proven experience in developing and deploying AI agents and peer to peer
• Strong programming skills in languages such as Python, JavaScript etc
• Experience with machine learning frameworks and tools
• Languages: Expert-level Python with experience in asynchronous programming.
• Frameworks: Hands-on experience with LangChain, LangGraph, AutoGen, or Semantic Kernel.
• Infrastructure: Proficiency in Docker/Kubernetes and cloud AI platforms (AWS/Azure/GCP) for deploying long-running agents.
• Knowledge of Digital Twins or IoT sensor integration for construction monitoring.
• Excellent problem-solving and analytical skills.
• Strong communication skills and the ability to work collaboratively in a team environment.
• Familiarity with data acquisition ethics, privacy and security considerations in AI applications.