LLM Engineer - Arabic Speaker

Design, develop, and deploy Arabic-first Large Language Model (LLM) solutions to support AI-driven products and client projects, ensuring high-quality Arabic language understanding, generation, and contextual accuracy across enterprises.

Key Responsibilities1. LLM Development & NLP (Core)

• 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

2. Data & Arabic Language Engineering

• Build and curate Arabic datasets
• Handle:
• • Dialects (Gulf, MSA, etc.)
  • Data cleaning, normalization
• Define evaluation benchmarks for Arabic LLM quality

3. AI System Architecture

• Develop LLM-powered systems using:
• • LangChain / LangGraph / Llama / OpenAI APIs
  • Vector databases (ChromaDB, FAISS, etc.)
• Integrate LLMs into:
• • APIs
  • Enterprise systems
  • AI agents / copilots

4. Production & MLOps

• Deploy scalable AI systems using:
• • Docker, Kubernetes
  • Cloud platforms (Azure, AWS, GCP)
• Optimize:
• • Latency
  • Cost
  • Throughput

5. Cross-functional Collaboration

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

6. Governance Alignment (Critical for Nabeh)

• Ensure:
• • AI outputs align with client expectations
  • Traceability (data model output)
• Support:
• • BRD validation (AI feasibility)
  • UAT and acceptance criteria

Requirements

Required SkillsTechnical

• Strong in:
• • Python (PyTorch / TensorFlow)
  • NLP & LLMs (Transformers, RAG)
• Experience with:
• • LangChain / LLM frameworks
  • Vector databases
  • Prompt engineering

Arabic AI (Mandatory)

• Native or fluent Arabic
• Experience in:
• • Arabic NLP
  • Dataset preparation for Arabic
  • Handling dialects

Engineering & Deployment

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

Language Requirements

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

Preferred Qualifications

• 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