Software Engineer

Job Description

About the Project

The Agentic AI Maximo Platform Project is a groundbreaking initiative led by the College of Engineering and IT at the University of Dubai, in collaboration with the Islamic Affairs and Charitable Activities Department (IACAD).
The project enhances the IBM Maximo Application Suite by integrating an Agentic AI layer, transforming Maximo modules into intelligent, explainable agents that autonomously collaborate to deliver predictive maintenance, fraud detection, budget forecasting, and optimized resource allocation across more than 1,000 IACAD-managed facilities in Dubai.

Role Overview

The Software Engineer will play a critical role in designing, implementing, and deploying the Agentic AI Maximo Platform.
The position involves the full software development lifecycle—from microservice design and integration to DevOps automation and system performance optimization.
This role is ideal for candidates experienced in enterprise AI integration, backend engineering, automation workflows, and large-scale data systems.
The Software Engineer will collaborate with researchers, AI developers, and project stakeholders to ensure the seamless and secure deployment of intelligent Maximo agents across IACAD’s operational systems.

Key Responsibilities

• Agent Development & Integration:
  Design, implement, and integrate microservices for the Predict, Fraud, Budget, Scheduling, and Integration agents; connect via REST APIs, Maximo Integration Framework (MIF), and event-driven systems (Kafka/MQTT).
• Architecture & Deployment:
  Design and manage cloud/on-premise backends, CI/CD pipelines, and containerized services to ensure high availability, reliability, and scalability of agent operations.
• Automation & Workflows:
  Implement end-to-end automation in Maximo (e.g., auto-work order creation, 3-way invoice matching, dynamic scheduling, and cost re-forecasting) using workflow engines and intelligent triggers.
• Web/Mobile Integration:
  Develop interactive dashboards and mobile interfaces that visualize agent outputs (e.g., asset health indices, SLA risk scores, anomaly detection results) with human-in-the-loop feedback controls.
• Security & Compliance:
  Enforce enterprise security standards, including Role-Based Access Control (RBAC), Segregation of Duties (SoD), encrypted communications, audit logging, and data privacy policies.
• Performance & Reliability:
  Optimize service performance and latency for predictive and scheduling agents, apply observability tools (logging, metrics, tracing), and implement blue-green deployment strategies and uptime monitoring.

Required Qualifications

Educational Background:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a closely related field.

Technical Skills:

• Proven experience in backend software development using Python, Java, or Node.js.
• Strong understanding of RESTful APIs, microservices architecture, and message-driven systems (Kafka, MQTT, or RabbitMQ).
• Hands-on experience with CI/CD pipelines, Docker, and Kubernetes.
• Familiarity with Maximo, enterprise asset management systems, or ERP integrations.
• Knowledge of AI/ML deployment (MLflow, TensorFlow Serving, or FastAPI-based AI APIs).
• Experience with databases (SQL and NoSQL) and data integration workflows.
• Knowledge of cloud platforms (AWS, Azure, or IBM Cloud) and container orchestration.

Soft Skills:

• Strong analytical and troubleshooting abilities.
• Excellent communication and documentation skills.
• Ability to manage time effectively and deliver under research deadlines.
• Collaborative mindset with experience working in interdisciplinary teams.

Preferred Qualifications

• Previous experience with IBM Maximo or other enterprise maintenance platforms.
• Background in AI systems integration, multi-agent systems, or intelligent automation.
• Familiarity with infrastructure-as-code (Terraform, Ansible) and monitoring tools (Prometheus, Grafana).
• Experience contributing to applied AI or enterprise automation projects.

Why Join Us?

• Contribute to one of Dubai’s most innovative AI transformation projects with direct societal and economic impact.
• Work with cutting-edge AI, automation, and Maximo technologies in collaboration with IACAD and IBM.

• Gain experience in full-stack AI systems engineering, integration, and deployment.
• Access advanced computational resources and cloud infrastructure.
• Opportunity to co-author technical reports and publications with leading academic and industry experts.

Application Details

Applications are open until the position is filled.
Interested candidates should submit the following:

• A detailed CV outlining relevant technical experience.
• A cover letter explaining motivation and fit for the role.
• Copies of academic transcripts (Bachelor’s and/or Master’s degrees).
• Contact details of two professional or academic references.

Expected Start Date: As soon as possible
Location: University of Dubai, Academic City, Dubai, UAE