| Job Location | Saudi Arabia |
| Education | Graduate |
| Salary | Not Mentioned |
| Industry | IT - Software |
| Functional Area | Not Mentioned |
We are seeking an experienced AI Engineer with hands-on expertise in Retrieval-Augmented Generation (RAG) to design, build, and deploy AI solutions powered by Large Language Models (LLMs). The role focuses on integrating LLMs with enterprise data sources to deliver accurate, secure, and scalable AI applications.Key Responsibilities:Design and implement RAG pipelines using structured and unstructured dataDevelop and optimize LLM-based applications (chatbots, copilots, internal tools)Build document ingestion, embedding, and vector search workflowsIntegrate vector databases (e.g., FAISS, Pinecone, Weaviate, Chroma)Implement prompt engineering, query optimization, and response evaluationDeploy and monitor AI solutions in production environmentsCollaborate with product, backend, and business teamsEnsure data security, access control, and compliance in AI systemsRequirements:Bachelor’s degree in Computer Science, AI, or related field3–5 years of experience in AI / Machine LearningProven hands-on experience with RAG architecturesStrong proficiency in PythonExperience with LLM frameworks such as LangChain, LlamaIndex, or tackSolid understanding of embeddings, similarity search, and vector indexingExperience working with APIs (OpenAI, Azure OpenAI, open-source LLMs)Good knowledge of SQL and data preprocessing techniques
Keyskills :
Strong proficiency in Python
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