Senior AI Engineer - RAG & LLM for Digital Banking

CoorB; Jeddah; On-site; SAR 300,000 - 520,000; Full time

Job summary

CoorB in Jeddah is seeking a Senior AI Engineer to design, build and deploy AI solutions for digital banking in a GCC context. You will craft production-grade LLM apps, including retrieval-augmented systems, knowledge graphs, and domain-focused fine-tuning, delivering measurable value.

The role covers architecting RAG workflows, maintaining knowledge bases, and implementing responsible AI practices in regulated banking environments.

Qualifications

• 5–7 years in software, ML or AI, with 2+ years building LLM applications.
• Strong Python and hands-on LangChain or LlamaIndex experience.
• Proven experience building RAG systems in production.
• Vector databases experience: Pinecone/Weaviate/Milvus/pgvector.
• Knowledge graphs and graph databases experience.
• Fine-tuning open-source LLMs with Hugging Face tooling.

Responsibilities

• Design and build RAG pipelines: ingestion, chunking, embeddings, hybrid search.
• Create and maintain knowledge bases and knowledge graphs.
• Fine-tune LLMs (LoRA/QLoRA/PEFT) on domain data.
• Develop agentic AI workflows with tool calling and memory.
• Set up LLM evaluation frameworks for accuracy and latency.
• Deploy and monitor models in production (LLMOps/MLOps).
• Ensure security, data privacy and regulatory compliance.

Skills

Python

LangChain

LlamaIndex

RAG systems

Vector databases

Knowledge graphs

Fine-tuning LLMs

LLMOps

Azure

AWS

GCP

Docker

Kubernetes

Arabic NLP

Banking domain

SAMA GCC regs

Prompt engineering

Embeddings

LLM evaluation

Tools

Pinecone

Weaviate

Milvus

pgvector

Azure AI Search

Job description

CoorB in Jeddah is seeking a Senior AI Engineer to design, build and deploy AI solutions for digital banking in a GCC context. You will craft production-grade LLM apps, including retrieval-augmented systems, knowledge graphs, and domain-focused fine-tuning, delivering measurable value.

The role covers architecting RAG workflows, maintaining knowledge bases, and implementing responsible AI practices in regulated banking environments.