Senior LLM Engineer

Senior LLM Engineer (Arabic Fluency Required)

Location: Riyadh, Saudi Arabia

Job Type: Full-time

• Develop and deploy end-to-end AI/ML solutions using Python and LLM/GenAI frameworks and tools
• Design, implement, and maintain CI/CD pipelines, containerize LLM models, and deploy them on cloud or on-premise environments
• Conduct thorough testing, deployment, and ongoing maintenance of models to ensure optimal performance throughout their lifecycle
• Research, design, and train innovative applications leveraging LLMs to solve complex real-world problems
• Build prototypes and proofs-of-concept (PoCs) to demonstrate solution feasibility and value, and provide robust architecture solutions
• Design and implement Retrieval-Augmented Generation (RAG) pipelines for specific use cases
• Develop and optimize LLM embeddings for diverse applications, including custom training pipelines
• Provide technical guidance to clients adopting LLM technologies, ensuring seamless integration and effective use
• Collaborate with teams to ensure compliance with Responsible AI standards and protocols

• Education:
  
  Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or related fields (final-year students may be considered)
• Experience:
• 3+ years of hands-on experience in AI/ML technologies and software engineering
• 2+ years of experience in shell scripting and NLP, including at least 1+ year of experience working with LLM/GenAI technologies like OpenAI API, ChatGPT, GPT-4, Lang Chain, Hugging Face Transformers, or similar
• 1+ year of experience with prompt engineering and vector databases (e.g., pgvector)
• 2+ years of experience with AWS, GCP, or Microsoft Azure
• 2+ years of experience with MLOps, CI/CD pipeline development, containerization, and deploying models in production
• Strong proficiency in Python, including experience with AI and ML libraries such as PyTorch and Tensor Flow
• Proven experience fine-tuning and deploying LLMs, as well as implementing RAG architectures
• Excellent problem-solving skills, with the ability to optimize model performance
• Fluency in both Arabic and English, with the ability to communicate complex technical concepts to non-technical stakeholders

• In-depth expertise in a specific domain or industry, particularly in NLP/LLM applications
• Applied research experience in developing production-grade LLM solutions
• Knowledge of Responsible AI standards and their implementation
• Familiarity with MLflow or other experiment-tracking tools
• Experience with cloud platforms such as GCP for AI/ML workloads

• Proficiency in Python programming and AI/ML frameworks
• Hands-on experience in fine-tuning, deploying, and maintaining LLMs
• Solid understanding of RAG pipelines, embeddings, and vector databases
• Expertise in MLOps and best practices for model deployment
• Automated testing experience to ensure robust pipelines