AI Specialist

Must have (6+ years, of which 3+ in production LLM systems)

Production deployment of open-source LLMs — Llama, Falcon, Jais, Mistral, or equivalent — on self-hosted GPU infrastructure

vLLM, Text Generation Inference, or equivalent high-throughput serving frameworks

RAG architecture in production: chunking strategies, embedding models, retrieval ranking, reranking, query rewriting

Vector databases — pgvector, ChromaDB, Weaviate, Qdrant, or Milvus (pgvector and ChromaDB are the target stack)

Embeddings for bilingual / multilingual content with RTL handling

Fine-tuning and parameter-efficient fine-tuning (LoRA, QLoRA, PEFT) on transformer models

LLM evaluation frameworks — RAGAS, TruLens, or equivalent — and ability to design custom evaluation harnesses

Python, PyTorch, Hugging Face Transformers, LangChain or LlamaIndex

NVIDIA GPU operations — CUDA awareness, multi-GPU inference, NVLink topology, model parallelism

Strongly preferred

MCP (Model Context Protocol) server development experience

Experience with UAE-origin models — Falcon, Jais, Jais Chat — or close equivalents

Arabic NLP — tokenisation, normalisation, dialectal handling (Gulf, Saudi, MSA), diacritic management

Prompt engineering at production scale , including chain-of-thought, few-shot, and instruction templates

LLM guardrails — Guardrails AI, NeMo Guardrails, or equivalent — for output filtering, PII redaction, jailbreak prevention

Kubernetes operation of GPU workloads , including NVIDIA k8s operators

Document AI — Puppeteer or equivalent for PDF rendering with bilingual RTL/LTR typography

Position details

Location: United Arab Emirates

Industry: Business Intelligence, Big Data & Analytics

Experience required: 8.0 years