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Senior LLM Engineer

Senior LLM Engineer

Master-WorksRiyadh, Riyadh Region, Saudi Arabia
30+ days ago
Job description

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.
  • #J-18808-Ljbffr

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