AI Engineer

We are seeking an experienced AI Engineer with a strong background in Retrieval-Augmented Generation (RAG) processes, function calling, Python programming, API integration, fine-tuning, and a deep understanding of Arabic content and its unique challenges. The ideal candidate will have a proven track record of delivering high-quality AI projects to real clients and will be adept at navigating the intricacies of Arabic language processing.

Key Responsibilities:

• Design, develop, and implement AI solutions utilizing Retrieval-Augmented Generation (RAG) methodologies to enhance information retrieval and generation processes.
  
• Develop and deploy AI/ML solutions on cloud platforms.
  
• Program custom RAG applications to enhance capabilities for chatbots, document analysis, and image recognition.
  
• Utilize AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn for model development.
  
• Manage cloud infrastructure and data pipelines for AI/ML applications.
  
• Collaborate with cross-functional teams to integrate AI functionalities into existing systems through robust API integrations.
  
• Conduct fine-tuning of pre-trained models to adapt them to specific client requirements, ensuring optimal performance and accuracy.
  
• Address and overcome challenges associated with processing and generating Arabic content, ensuring cultural and linguistic nuances are accurately handled.
  
• Stay updated with the latest advancements in AI technologies and propose innovative solutions to improve our offerings.
  
  
  
  

Requirements

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  
• 3+ years of experience in developing and deploying AI/ML solutions.
  
• Proficiency in Python and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  
• Proven experience in implementing Retrieval-Augmented Generation (RAG) processes in real-world projects.
  
• Demonstrated ability to deliver high-quality AI projects to clients, meeting specified requirements and timelines.
  
• Experience with function calling and its application in AI projects to enhance model capabilities.
  
• Strong expertise in Python programming, with a focus on developing scalable and efficient code.
  
• Experience in integrating APIs to enhance AI system functionalities and data accessibility.
  
• Proficiency in fine-tuning AI models to improve performance on specific tasks or datasets.
  
• Excellent problem-solving skills and the ability to work collaboratively in a team environment.
  
• Strong communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
  

Preferred Qualifications:

• Experience with large language models (LLMs) and transformer architectures.
  
• Knowledge of cloud infrastructure management and data preprocessing for AI/ML.
  
• Familiarity with RAG applications, API integration, and containerization (Docker, Kubernetes).
  
• Strong problem-solving skills and excellent communication abilities.