| Job Location | Riyadh - Saudi Arabia |
| Education | Not Mentioned |
| Salary | Not Mentioned |
| Industry | Recruitment, Placement Firm |
| Functional Area | Not Mentioned |
Roles & ResponsibilitiesLLM Solution Design & Development Architect and deliver production-ready LLM applications ? conversational agents, intelligent assistants, and RAG pipelines with advanced retrieval and re-ranking.Build multi-agent systems using LangGraph, AutoGen, or CrewAI; apply prompt engineering techniques to optimise model performance.Integrate LLM solutions with enterprise systems via REST APIs and event-driven architectures. Model Fine-Tuning & OptimisationLead fine-tuning (LoRA, QLoRA, instruction tuning) and benchmark foundation models (OpenAI, Mistral, LLaMA, Gemini) for specific use cases.Desired Candidate ProfileAt least 3-5 years of hands-on experience in developing AI models and applications, demonstrating a proven track record in the field.Relevant certifications such as TensorFlow Developer, AWS Certified Machine Learning, or similar qualifications that validate expertise.Proficiency in programming languages like Python and R, alongside familiarity with AI frameworks such as TensorFlow or PyTorch.Experience with cloud platforms such as AWS, Google Cloud, or Azure, ensuring scalability and efficiency in AI solutions.A proactive mindset and adaptability to thrive in fast-paced environments, eager to learn and implement new AI strategies.
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