Senior LLM Engineer

6 days ago

Riyadh, Ar Riyāḑ, Saudi Arabia Master Works Full time

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
Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Engineering and Information Technology
Industries
  • IT Services and IT Consulting
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