Intermediate to Senior AI Application Developer to support the design, development, and implementation of an Agentic AI–enabled maintenance assistant appli

Our post-secondary client is seeking an Intermediate to Senior AI Application Developer to support the design, development, and implementation of an Agentic AI-enabled maintenance assistant application within a facilities and enterprise asset management environment (Hybrid, Edmonton AB).

Overview:

The successful consultant will work alongside internal teams to design and build an AI-driven assistant that supports facilities maintenance planning and operational decision-making. The resource will help structure maintenance and asset data, design an Agentic AI architecture leveraging RAG methodologies, and integrate the solution with enterprise asset management systems via APIs.

Must-Haves:

• 3-5 years of software or application development experience
• Hands-on experience developing AI / Generative AI applications
• Experience designing or implementing RAG (Retrieval Augmented Generation) architectures
• Experience developing Agentic AI or AI-driven decision support systems
• Experience integrating applications with enterprise systems via APIs
• Experience working with data preparation, structuring, and analysis for AI/ML use cases

Nice-to-Haves:

• Experience working with Enterprise Asset Management (EAM) or CMMS (Computerized Maintenance Management System) platforms
• Experience developing solutions within facilities management, asset management, or operational environments
• Master’s degree in Computer Science, Software Engineering, or related discipline
• Experience working within large public-sector or enterprise environments

Responsibilities:

• Design and develop an Agentic AI architecture for a facilities maintenance assistant
• Prepare, structure, and analyze facilities and maintenance data for AI model ingestion
• Develop an AI assistant capable of providing maintenance planning insights and operational recommendations
• Integrate the AI application with enterprise systems (e.g., CMMS) via APIs
• Participate in solution design discussions, architecture reviews, and development planning
• Collaborate with business stakeholders and technical teams to gather requirements and refine solution capabilities
• Support testing, refinement, and documentation of the AI application
• Ensure adherence to development methodologies and best practices