Senior LLM Engineer

Job Description:
Senior LLM Engineer (Arabic Fluency Required)

Location: Riyadh, Saudi Arabia

Job Type: Full-time

Key Responsibilities

• 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.

Required Qualifications

•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.

Desired Qualifications

• 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.

Required Skills

• 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.