ABOUT DIVERGE AI

Diverge AI is an innovative artificial intelligence company based in Abu Dhabi, UAE. We are dedicated to delivering cutting-edge AI solutions that redefine what is possible across industries. As we expand, we are seeking passionate, highly skilled professionals who want to work at the forefront of AI research and deployment.

QUALIFICATIONS

• 3+ years of professional experience in AI/ML engineering roles.
• Strong proficiency in Python and modern machine learning frameworks (PyTorch, TensorFlow, etc.).
• Deep understanding of transformer architectures and large language models.
• Hands-on experience with LLM fine-tuning, prompt engineering, and model deployment.
• Expertise working with Hugging Face models and tools.
• Solid knowledge of text embeddings, vector databases, and Retrieval-Augmented Generation (RAG) systems.
• Up-to-date with the latest advancements and research trends in AI, machine learning, and NLP.
• Excellent problem-solving skills, with the ability to work independently and mentor junior engineers.
  Job Type: Full-time
  Pay: AED7,000.00 - AED10,000.00 per month

Application Question(s):

• Are you currently employed? and Do you require a notice period?

Education:

• Bachelor’s (Required)

Experience:

• python: 5 years (Required)
• LLM: 3 years (Required)
• AI: 3 years (Required)

Location:

• Abu Dhabi (Preferred)

ABOUT THE ROLE

We are looking for a AI Engineer with at least 3 years of experience in developing and deploying advanced AI systems. You will play a key role in building, fine-tuning, and deploying large language models (LLMs) and other state-of-the-art transformer-based architectures to solve complex, real-world problems.

KEY RESPONSIBILITIES

• Design, develop, and fine-tune large language models and transformer-based architectures.
• Apply advanced prompting strategies to optimize model outputs.
• Deploy and integrate open-source LLMs from platforms such as Hugging Face to address specific business use cases.
• Develop and manage text embedding pipelines and Retrieval-Augmented Generation (RAG) systems.
• Stay up-to-date with the latest AI research, tools, and technologies, and proactively integrate them into our solutions.
• Collaborate with cross-functional teams to translate business requirements into scalable AI systems.
• Optimize model performance, scalability, and reliability for production environments.