Software Engineer

United Arab Emirates University, Department of Family Medicine; Abu Dhabi; On-site; AED 120,000 - 150,000; Full time

Job summary

A leading academic institution in the UAE is seeking a Software Engineer to develop AI-driven solutions that improve operational efficiency. The ideal candidate will have strong programming skills, experience in machine learning frameworks, and the ability to design scalable applications. Responsibilities include designing software solutions, implementing AI tools, and collaborating with teams to integrate systems.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, AI, or a related field.
• Strong programming skills in Python, Java, or C++.
• Experience with AI/ML frameworks like TensorFlow, PyTorch, or Scikit-Learn.
• Proficiency in full-stack development using technologies such as Django, Flask, React, or Node.js.
• Experience with cloud platforms like AWS, Azure, or Google Cloud.
• Knowledge of database management and API development.

Responsibilities

• Design, develop, and deploy software solutions to automate university processes.
• Implement AI-driven solutions for predictive analytics and intelligent decision-making.
• Work with Process Analysts to translate designs into functional applications.
• Collaborate with Data Engineers to integrate AI models and data pipelines.
• Develop APIs and microservices for integration with university systems.

Skills

Python

Java

C++

AI/ML frameworks

Full-stack development

Cloud platforms

Database management

Communication skills

Education

Bachelor's degree in Computer Science or related field

Tools

TensorFlow

PyTorch

Django

Flask

React

Node.js

AWS

Azure

Docker

Kubernetes

Job description

Overview

United Arab Emirates University (UAEU) is one of the leading academic institutions in the UAE and the region, known for its excellence in teaching, research, and innovation. As part of our ongoing commitment to organizational efficiency, we are seeking a Software Engineer with expertise in AI to develop and implement intelligent solutions that enhance operational efficiency. The Software Engineer will work alongside Process Analysts and Data Engineers to design and develop AI-driven applications that streamline workflows, improve decision-making, and automate complex processes. The ideal candidate will have strong software development skills, experience in AI/ML, and a passion for building scalable and efficient systems.

Responsibilities

• Design, develop, and deploy software solutions to automate and optimize various university processes.
• Implement AI-driven solutions for process automation, predictive analytics, and intelligent decision-making.
• Work with Process Analysts to translate workflow designs into functional software applications.
• Collaborate with Data Engineers to integrate AI models with data pipelines and business intelligence tools.
• Develop APIs and microservices for seamless integration with existing university systems.
• Ensure scalability, security, and efficiency of deployed applications.
• Optimize algorithms and software architecture to improve performance.
• Maintain and document software development processes, best practices, and technical guidelines.

Minimum Qualifications

• Bachelor’s degree (BSc) in Computer Science, Software Engineering, AI, or a related field.
• Strong programming skills in Python, Java, or C++.
• Experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
• Proficiency in full-stack development (Django, Flask, React, Node.js, or similar).
• Experience with cloud platforms (AWS, Azure, or Google Cloud).
• Knowledge of database management (SQL, NoSQL) and API development.
• Familiarity with AI-driven automation tools (RPA, NLP, Chatbots).
• Excellent communication and documentation skills.

Preferred Qualifications

• 2+ years of experience in software engineering, AI application development, or automation.
• Experience in AI-based process optimization, workflow automation, or intelligent decision systems.
• Familiarity with DevOps, CI/CD pipelines, and containerization (Docker, Kubernetes).
• Experience in integrating AI models with enterprise software solutions.
• Understanding of process mining and business process management (BPM) tools.