AI Engineer

🕒 October 22

🇦🇪 United Arab Emirates (UAE) – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 19%

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CoorB

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2023

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

CoorB is a digital finance technology company that builds end-to-end solutions focused on process automation, user experience, API-driven integrations, and advanced data analytics for banks, non-banking financial institutions, and mobile operators. The company helps clients accelerate digital transformation, launch financial products rapidly, and modernize IT infrastructure while ensuring security, compliance, and scalability. CoorB positions itself as a B2B partner offering customizable, cloud-friendly platforms and services to enable personalized digital banking, mobile finance, and other fintech use cases.

📋 Description

• Design and build RAG pipelines, including document ingestion, chunking, embeddings, hybrid search and re-ranking • Build and maintain knowledge bases and knowledge graphs, including Neo4j or GraphRAG approaches • Fine-tune LLMs using LoRA/QLoRA and PEFT on domain-specific data, and evaluate them against base models • Develop agentic AI workflows with tool calling, multi-step orchestration and memory • Set up LLM evaluation frameworks measuring accuracy, hallucination rate, latency and cost • Deploy and operate models in production through LLMOps/MLOps, including monitoring, versioning and CI/CD • Apply security, data privacy and responsible AI practices in regulated banking environments • Work with architects, developers and client stakeholders to turn business needs into AI solutions • Build production-grade LLM applications, including retrieval-augmented systems, knowledge graphs and fine-tuned models, for digital banking clients across the GCC

🎯 Requirements

• 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

🏖️ Benefits

• Remote work

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