LLM Engineers

Master Works

  • Riyadh
  • Permanent
  • Full-time
  • 21 days ago
Job Description:Job Overview:Master Works is looking for a highly skilled LLM Engineer to join our AI Core Delivery team within the AI & Analytics CoE. In this role, you will develop, deploy, and optimize advanced language model capabilities, including Retrieval-Augmented Generation (RAG) pipelines and agentic AI systems. You will play a key role in scaling AI Core as the central enterprise AI platform by ensuring production-ready performance, robust observability, and seamless integration of LLMs with internal and external systems.Key Responsibilities
  • Model Development & Optimization
  • Build and optimize RAG pipelines for efficient document processing, indexing, and retrieval.
  • Implement agentic AI logic for tool integration, task automation, and external data access.
  • Enhance query understanding, response ranking, and AI-generated output quality.
  • Develop evaluation benchmarks to measure LLM performance, accuracy, and relevance.
  • LLMOps & Deployment
  • Collaborate with API developers and backend engineers to deliver secure, observable LLM endpoints.
  • Deploy and manage LLMs in cloud-native or hybrid environments with support for scalability and multi-cloud readiness.
  • Implement CI/CD workflows for model updates, rollback mechanisms, and performance tuning.
  • Backend & Data Integration
  • Integrate LLM capabilities with enterprise data sources and knowledge bases.
  • Support multi-source retrieval and embedding strategies to improve AI responses.
  • Design pipelines that ensure low latency, high throughput, and fault tolerance.
  • Security & Compliance
  • Apply enterprise-grade authentication, access management, and encryption standards.
  • Ensure compliance with internal governance policies, data privacy, and audit requirements.
  • Continuous Improvement
  • Monitor system performance, debug issues, and fine-tune models based on real-world feedback.
  • Stay updated on advancements in LLM architectures, open-source tools, and evaluation frameworks.
Requirements:
  • Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
  • Hands-on experience with LLM development and deployment (OpenAI, Anthropic, Hugging Face, LLaMA, etc.).
  • Strong understanding of Retrieval-Augmented Generation (RAG), embeddings, and vector databases.
  • Experience with cloud environments (AWS, Azure, GCP) and infrastructure-as-code (IaC).
  • Proficiency with Python or similar languages for AI/ML pipeline development.
  • Familiarity with container orchestration (Docker, Kubernetes) and CI/CD practices.
  • Knowledge of observability tools for monitoring AI performance in production environments.
Preferred Skills
  • Experience integrating agentic AI capabilities with external APIs and automation tools.
  • Strong grasp of prompt engineering, contextual memory systems, and LLM evaluation.
  • Exposure to enterprise AI security and compliance standards.

Master Works