LLM Engineer - Arabic Speaker

• Design and fine-tune LLMs for Arabic language tasks

• Text generation, classification, summarization
• Arabic grammar correction, dialect handling
• Build and optimize RAG pipelines
• Develop prompt engineering strategies for Arabic + English contexts

• Build and curate Arabic datasets
• Handle:

• Dialects (Gulf, MSA, etc.)
• Data cleaning, normalization
• Define evaluation benchmarks for Arabic LLM quality

• Develop LLM-powered systems using:

• LangChain / LangGraph / Llama / OpenAI APIs
• Vector databases (ChromaDB, FAISS, etc.)
• Integrate LLMs into:

• APIs
• Enterprise systems
• AI agents / copilots

• Deploy scalable AI systems using:

• Docker, Kubernetes
• Cloud platforms (Azure, AWS, GCP)
• Optimize:

• Latency
• Cost
• Throughput

• Work with:

• PMs (scope, delivery, timelines)
• BAs (requirements translation → AI logic)
• QA (model validation & test cases)
• Support client demos and AI solution design

• Ensure:

• AI outputs align with client expectations
• Traceability (data → model → output)
• Support:

• BRD validation (AI feasibility)
• UAT and acceptance criteria

• Strong in:

• Python (PyTorch / TensorFlow)
• NLP & LLMs (Transformers, RAG)
• Experience with:

• LangChain / LLM frameworks
• Vector databases
• Prompt engineering

• Native or fluent Arabic
• Experience in:

• Arabic NLP
• Dataset preparation for Arabic
• Handling dialects

• APIs (FastAPI / Flask)
• Microservices architecture
• Docker, Kubernetes
• CI/CD pipelines

• Arabic: Native / Fluent (MANDATORY)
• English: Professional (MANDATORY)

• MSc or higher in AI / Data Science / NLP
• Experience in:

• Arabic LLMs (high priority)
• Government or enterprise AI projects
• Certifications:

• Azure AI / ML
• MLOps / Cloud certifications

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