AI Engineer

Job Title: Algorithm Researcher – AI Large Language Models

Location: Riyadh, Saudi Arabia (On-site Only)

Department: Research & Development

About the Role

We are seeking a passionate Algorithm Researcher to join our client's R&D team in Riyadh. You will contribute to the design, development, and optimization of applications powered by Large Language Models (LLMs) , working at the forefront of generative AI innovation. This role offers the opportunity to work on real-world applications in collaboration with top AI experts and product teams.

Key Responsibilities

• LLM Development & Optimization: Contribute to building and refining LLM-powered applications through coding, performance tuning, and debugging.
• Feature Implementation: Translate user and product requirements into functional, scalable modules.
• Framework & Model Ownership: Support the design, development, and maintenance of proprietary LLM frameworks.
• Prompt Engineering & Interaction: Apply advanced prompting, context management, and agent-based reasoning techniques for enhanced LLM performance.
• AI Agent Productionization: Partner with research and product teams to translate agent logic (planning, reasoning, tool usage) into robust production-grade systems.
• Continuous Learning: Stay current with the latest AI/LLM advancements and actively contribute to technical discussions, code reviews, and team knowledge-sharing.
• Problem Solving: Collaborate with senior engineers to solve technical challenges and optimize large-scale systems.

Requirements

• Language: Fluent in Arabic and English (written & spoken).
• Location: Must be based in Riyadh (onsite role).
• Education: Bachelor’s or Master’s degree in Computer Science, AI, Software Engineering, or related fields from a top-tier global university.
• Experience: 1+ years in software development (including internships/personal projects).

Technical Skills:

• Strong programming skills in Python (or similar).
• Hands-on experience with deep learning frameworks (PyTorch preferred).
• Solid understanding of algorithms and ability to implement complex coding solutions.
• Familiarity with LLM workflows, prompt engineering, and agent development .
• Exposure to frameworks like LangChain, LangGraph, Autogen, dify, MCP (hands-on project experience preferred).
• Mindset: Strong analytical skills, logical thinking, and a passion for AI innovation.