Summary
The Big Data Analytics Center (BIDAC) at the United Arab Emirates University is seeking a Software Engineer for its Center For AI & Digital Innovation. The role involves building and maintaining AI and data applications, integrating APIs and LLM-based systems, and developing interfaces, dashboards, and deployment pipelines. Applicants need a relevant bachelor's degree and experience with programming languages, web frameworks, APIs, and databases; experience with LLMs, MLOps, and cloud services is preferred. The posting does not state a work location, employment type, salary, or visa conditions.
The posting
As published on uaeu.ac.ae. Pulled from the employer's site and shown as they wrote it.
Job description
The Big Data Analytics Center (BIDAC) at the United Arab Emirates University (UAEU) is seeking a talented and motivated Software Developer to support the design, development, and deployment of advanced AI-driven platforms and data applications.
This position offers an exceptional opportunity to work in an interdisciplinary environment at the intersection of Artificial Intelligence, Natural Language Processing (NLP), and software engineering. The successful candidate will collaborate with data scientists, researchers, and engineers to translate cutting-edge AI research including Large Language Model (LLM) innovations into scalable, secure, and user-friendly systems.
The role is ideal for developers who are passionate about AI productization, system integration, and building digital solutions that advance the UAE’s AI and digital transformation vision.
Key Responsibilities:
• Design, develop, and maintain web and software applications for AI and data-driven projects at BIDAC.
• Build and integrate APIs for AI/ML model deployment, data pipelines, and backend services.
• Collaborate with AI researchers to implement LLM-based systems, chatbots, and process automation tools.
• Develop front-end interfaces and dashboards using modern frameworks (e.g., React, or Dash).
• Implement secure data access layers and ensure compliance with UAEU’s data governance policies.
• Contribute to the design and deployment of MLOps and DevOps pipelines for production AI applications.
• Write clean, maintainable, and well-documented code following best practices.
• Work with cross-functional teams to deploy solutions on cloud and on-premise environments.
• Support the development of AI-powered educational, research, and administrative tools.
• Participate in technical documentation, testing, and version control using Git/GitHub.
Minimum qualification
- Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or related field.
- Proven experience in Python, JavaScript, or TypeScript.
- Experience with web frameworks (e.g., Flask, FastAPI, Django) and front-end libraries (React, Vue, or Angular).
- Understanding of RESTful API design, JSON, and database integration (MySQL, PostgreSQL, or MongoDB).
- Strong problem-solving and debugging skills with attention to performance and scalability.
Preferred qualification
- Master’s degree in Computer Science, AI, or Software Engineering.
- Experience with LLM deployment, fine-tuning, or integration (e.g., LangChain, RAG systems).
- Familiarity with MLOps frameworks (MLflow, DVC) and AI application deployment.
- Prior experience developing AI dashboards, data visualization tools, or analytics platforms.
- Contribution to open-source projects or experience in AI startup / research environments.
- Knowledge of Arabic NLP or bilingual (English/Arabic) AI applications is a plus.
Expected skills
- Familiarity with AI/ML model integration and LLM APIs (OpenAI, Hugging Face, Anthropic, etc.).
- Experience developing Gradio, or Flask-based AI interfaces.
- Ability to work across backend, frontend, and data layers (full-stack orientation preferred).
- Understanding of cloud services (AWS, Azure, or GCP) and container orchestration (Kubernetes).
- Knowledge of data processing, API authentication, and secure data exchange protocols.
- Strong communication, teamwork, and documentation skills.
- A proactive and innovative mindset with a passion for applying software to solve real-world problems.
Department
Center For AI & Digital Innovation
College or division
Research Centers