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 Responsibilities

1. 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 Skills

Technical

• 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