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LLM Engineer - Arabic Speaker

icon building Company : Master-works
icon briefcase Job Type : Full Time

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Job Description - 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

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
Original job LLM Engineer - Arabic Speaker posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
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