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Senior LLM Engineer
Master-WorksRiyadh, Riyadh Province, SAمنذ أكثر من 30 يومًا
نوع الوظيفة
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الوصف الوظيفيEducation : 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. 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.
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
Desired Qualifications
Required Skills