LLM Engineer - Arabic Speaker
Skills
About This Role
Overview
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
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
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
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