AI Developer / AI Engineer

The Smart University College for Modern Education is seeking an

AI Developer / AI Engineer

Description: 

The AI Developer is responsible for designing, developing, and deploying intelligent systems that rely on real-time institutional data, including advanced chatbots, virtual assistants, and automated decision-support tools. The role focuses on building conversational AI solutions powered by large language models (LLMs), dynamic Retrieval-Augmented Generation (RAG) pipelines, and integrations with internal academic, administrative, and student-facing systems. The position requires strong technical expertise in natural language processing, real-time data processing, and backend integration.

Key Responsibilities:

• Develop AI-powered chatbots and conversational assistants that access real-time data from institutional systems.
•  Design and implement LLM-based solutions using embeddings, vector databases, and real-time RAG architectures.
• Build and maintain data connectors, event-driven pipelines, and APIs to ensure that AI outputs remain accurate and updated.
• Train, validate, fine-tune, and optimize NLP and machine-learning models for domain-specific use cases.
• Integrate AI systems with internal platforms such as SIS, ERP, databases, and other organizational services.
•  Deploy production-ready AI applications ensuring scalability, reliability, and maintainability.
•  Collaborate with academic departments, administrative units, and student services to understand needs and deliver appropriate AI-driven solutions.
• Document system architectures, AI pipelines, data flows, model configurations, and operational processes according to institutional standards.

Qualifications:

• Bachelor’s degree in computer science, Artificial Intelligence, Data Science, or related fields.
• Strong programming skills in Python and .NET.
• Solid experience with NLP, LLMs, embeddings, and RAG architectures.
• Understanding of real-time data processing, event-driven systems, and API-driven integrations.
• Familiarity with vector databases (e.g., Pinecone, Qdrant, Weaviate, Chroma).
• Experience with machine learning frameworks such as PyTorch or TensorFlow.
• Ability to deploy AI applications using cloud platforms, containers, or on-premise environments.
• Strong analytical and problem-solving skills
• Ability to work in cross-functional teams
• Clear communication and documentation skills
• Commitment to ethical AI practices and data privacy

Interested candidates are invited to submit their updated CVs to the following email:

[email protected]

Please use the subject line: AI Developer / AI Engineer

*Only shortlisted candidates will be contacted.