Job Details:
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.
What you'll do
• 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
Qualifications:
What we're looking for (minimum requirements)
• 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, TypeScript, Go, C++, Rust, React, JavaScript • 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
Nice to have
• Experience with Docker and containerized development • Exposure to AI / ML frameworks (PyTorch, TensorFlow) or LLM tooling (LangChain, LlamaIndex, 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.
Job Type:
Experienced Hire
Shift:
Shift 1 (Saudi Arabia)
Primary Location:
Saudi Arabia, Riyadh
Additional Locations:
Business group:
Intel makes possible the most amazing experiences of the future. You may know us for our processors. But we do so much more. Intel invents at the boundaries of technology to make amazing experiences possible for business and society, and for every person on Earth. Harnessing the capability of the cloud, the ubiquity of the Internet of Things, the latest advances in memory and programmable solutions, and the promise of always-on 5G connectivity, Intel is disrupting industries and solving global challenges. Leading on policy, diversity, inclusion, education and sustainability, we create value for our stockholders, customers, and society.
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust
N/A
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.