Tech jobs
Job listings
Software Engineer Intern (AI/Automation)
Build AI-driven QA automation: parse docs with LLMs, design prompt strategies, and integrate pipelines with test tools like Zephyr Scale and Jira.
AI Engineer (Generative AI / AI-ML / Microsoft Copilot)
Build and deploy AI-powered applications using LLMs, vector databases, and AI orchestration frameworks like LangChain or Semantic Kernel.
AI Data Architect
Designs and builds the hybrid vector and knowledge graph layer that powers RAG across Kuok Group, including embedding pipelines, retrieval patterns, and data governance for AI systems.
Data Engineer (AI, GenAI & MLOps Platforms) Consultant/ Senior Consultant
Design and deliver AI-ready data platforms, ML pipelines, and GenAI-specific data flows for clients using cloud ecosystems like AWS, Azure, and GCP.
Senior Associate/Assistant Vice President, AI Data Engineer
Build AI-ready data pipelines and knowledge systems for an investment firm’s agentic AI, integrating structured financial data, unstructured research, and real-time feeds into vector stores, graph databases, and retrieval pipelines.
Consultant - Data Engineer (AI-Enabled Data Engineering)
Design and build AI-ready data platforms and ML pipelines for analytics, GenAI, and RAG systems on AWS/Azure/GCP, ensuring production-grade delivery and MLOps practices.
Information Technology Consultant (AI Data Engineer (Cloudera to AWS Migration)
Build and migrate AI/ML pipelines from Cloudera to AWS, using Python, PySpark, and AWS services like Sagemaker and Glue to deploy scalable GenAI and ML models.
Senior Devops Engineer
Build and automate CI/CD pipelines for deploying LLMs and AI agents on Kubernetes in a regulated banking environment using Docker, Terraform, and model serving platforms like vLLM.
Devops Engineer (Strong in Java & Python)
Build and automate CI/CD pipelines for deploying and managing AI models (LLMs, agents) in a secure banking environment using Kubernetes, Docker, and cloud platforms.
#EG Full Stack Developer (AI-Enabled)
Build full-stack web apps and integrate AI features using modern stacks (React, Node.js/Python/.NET, SQL/NoSQL) while leveraging AI coding assistants daily.
#EG Full Stack Developer (AI-Enabled)
Build full-stack web apps and integrate AI features using modern stacks, AI coding assistants, and LLM APIs to deliver enterprise solutions.
#EG Full Stack Developer (AI-Enabled)
Build and ship full-stack web apps while integrating AI features like LLM-powered tools and RAG systems using modern stacks and cloud platforms.
AI Systems Architect - LLM & Vector Infrastructure
Design and build AI-native systems where LLMs, vector databases, and agent frameworks power web and mobile apps, focusing on RAG pipelines, memory architectures, and scalable AI orchestration.
Senior AI Engineer - Saudi National
Build production-grade AI systems like copilots, RAG, and agents using LLMs and vector databases, deploying them in enterprise environments.
AI Engineer
Build and deploy production-grade AI systems, including LLM-based applications, RAG pipelines, and agentic workflows, across a large Saudi conglomerate's diverse business units.
Senior Data Engineer
Build and maintain the data pipelines and retrieval layer that power Mirai’s Generative AI products on AWS, including vector stores, embeddings, and governed datasets.
Staff Software Engineer (Data)
Lead the architecture and strategy of JLL’s enterprise data platform, consolidating global systems into a unified, scalable data layer to power AI-driven insights and analytics for commercial real estate.
Platform Engineer (Data Platform, AI, 25-35K)
Build and maintain the AI platform and data lakehouse, automating operations and integrating services with APIs and cloud infrastructure using Python, Kubernetes, and MLOps tools.
AI Engineer
Build and improve AI-powered financial research tools using LLM, RAG, vector search, and agentic workflows for a market intelligence platform.
AI Engineer (LLM/ Chatbot)
Build and optimize production-grade LLM systems, integrating commercial APIs and self-hosted models, and implementing RAG pipelines and end-to-end LLM workflows.