Description
Our subsidiary (Nabeh) is seeking an experienced and highly skilled LLM engineer to 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 and 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