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
- 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
- Data & Arabic Language Engineering
- Build and curate Arabic datasets
- Handle:
- Dialects (Gulf, MSA, etc.)
- Data cleaning, normalization
- Define evaluation benchmarks for Arabic LLM quality
- 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
- Production & MLOps
- Deploy scalable AI systems using:
- Docker, Kubernetes
- Cloud platforms (Azure, AWS, GCP)
- Optimize:
- 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
- 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
