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, LangChain, HuggingFace 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 TensorFlow.

•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.