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 RAG 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.

Requirements Mandatory

Requirements 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.