Software Engineer – IACAD

Project:** Agentic AI Maximo Platform Project

Role Overview

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.

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 to the **College of Engineering and IT, University of Dubai**:
• 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

Information

• ---------------
• Date Posted

May 12, 2026

• Location

Engineering & Information Technology

• Category

Ceit

• Expiration date

Employer Information

Email