AI Engineer

CoorB is looking for a Senior AI Engineer to design, build and deploy AI solutions for digital banking. You will build production-grade LLM applications, including retrieval-augmented systems, knowledge graphs and fine-tuned models, that deliver measurable business value to our banking clients across the GCC. Key Responsibilities • Design and build R AG pipelines: document ingestion, chunking, embeddings, hybrid search and re-ranking. • Build and maintain knowledge bases and knowledge graphs (for example Neo4j, or GraphRAG approaches). • Fine-tune LLMs (LoRA/QLoRA, PEFT) on domain-specific data, and evaluate them against base models. • Develop agentic AI workflows, including tool calling, multi-step orchestration and memory. • Set up LLM evaluation frameworks to measure accuracy, hallucination rate, latency and cost. • Deploy and operate models in production (LLMOps/MLOps), including monitoring, versioning and CI/CD. • Apply security, data privacy and responsible AI practices suited to regulated banking environments. • Work with architects, developers and client stakeholders to turn business needs into AI solutions. All of the following are required: • 5–7 years in software, ML or AI engineering, with at least 2 years building LLM-based applications. • Strong Python; hands-on with LangChain, LlamaIndex or similar frameworks. • Proven experience building RAG systems in production. • Hands-on with vector databases (Pinecone, Weaviate, Milvus, pgvector, Azure AI Search or similar). • Experience with knowledge graphs and graph databases. • Proven experience fine-tuning open-source LLMs (Llama, Mistral, Qwen or similar) using Hugging Face tooling. • Experience with commercial LLM APIs (OpenAI/Azure OpenAI, Anthropic, Google Gemini). • Experience building agentic AI and multi-agent solutions, including MCP (Model Context Protocol). • On premises, Cloud experience on Azure, AWS or GCP, plus Docker and Kubernetes. • Solid grasp of prompt engineering, embeddings and LLM evaluation methods. • Arabic NLP or multilingual model experience. • Experience in banking, fintech or other regulated industries. • Familiarity with SAMA or other GCC regulatory and data-residency requirements.