AI Software Engineer - Agentic Platform

Job Description About the role

Join Intel's Agentic Platform team as we build a regional engineering presence in Saudi Arabia, in alignment with Saudi Vision 2030 and the Kingdom's ambition to become a global AI hub. You will help build the software, tooling, and integrations behind Intel's agentic AI platform - the systems that let enterprise customers across the Kingdom and the wider MENA region deploy, operate, and scale AI agents on Intel hardware.

This is a hands-on engineering role for an early-career software engineer. You will write production code, contribute to platform features end-to-end, and grow alongside global Intel teams that are shipping the agentic AI stack today.

• Build and maintain features of the Agentic Platform:
  Front End UI, APIs, services, tooling, and integrations that customer teams rely on
• Contribute to the platform's deployment, observability, and quality across Intel hardware (Xeon, Gaudi, Arc / iGPU)
• Collaborate with global Intel engineering teams on shared codebases - code reviews, design discussions, and on-call rotations
• Work directly with the Regional Customer Success Engineering team to translate field feedback into platform improvements
• Document features and write internal technical content in both English and Arabic, supporting bilingual engineering and partner communication
• Participate in regional customer engagements, partner sessions, and Vision 2030 ecosystem activities (e.g., LEAP, Global AI Summit) as a technical representative of the team

• Bachelor's degree in Computer Science, Software Engineering, or a related engineering field
• 1-3 years of software engineering experience (internships, co-ops, and meaningful open-source contributions are counted)
• Proficiency in at least one of:
  Python, Type Script, Go, C++, Rust, React, Java Script
• Comfortable with Linux, Git, and command-line development
• Familiarity with REST APIs, HTTP-based services, and basic SQL (SQLite or PostgreSQL)
• Comfortable reading unfamiliar codebases and learning new technologies quickly
• Working proficiency in both Arabic and English - able to participate in technical discussions, write documentation, and communicate with customers and partners in both languages

• Experience with Docker and containerized development
• Exposure to AI / ML frameworks (PyTorch, Tensor Flow) or LLM tooling (Lang Chain, Llama Index, Anthropic SDKs)
• Open-source contributions, technical blog posts, or participation in regional AI / developer communities (e.g., SDAIA, Saudi AI Society, GCC tech meetups)
• Prior internship or graduate experience at a global technology company

* Job posting details (such as work model, location or time type) are subject to change.

Experienced Hire

Shift 1 (Saudi Arabia)

Saudi Arabia, Riyadh

N/A