Llm Engineers

1 week ago

Riyadh, Saudi Arabia Master-Works Full time

**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**- 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**.

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