Senior Llm Engineer

2 weeks ago


الرياض, 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.
- 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.
- 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**
- 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.


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