Researcher

Overview

Job Title : Algorithm Researcher (AI Large Language Model) Department : Research & Development Responsibilities

Core Development & Optimization : Participate in the development of cutting-edge applications powered by Large Language Models (LLMs), contributing to code implementation, performance optimization, and debugging. Requirement Translation & Feature Implementation : Collaborate closely with senior developers and product teams to deeply understand user requirements and translate them into high-quality functional modules. LLM Models & Framework : Responsible for the design, development, and maintenance of LLM models within the team\'s proprietary LLM framework. Advanced LLM Interaction : Skillfully apply prompt engineering techniques, context management, and advanced model interaction as part of LLM application development. Continuous Learning & Growth : Actively learn and stay updated with the latest developments in LLM technologies, algorithms, and programming best practices. Collaboration & Skill Enhancement : Actively participate in code reviews, pair programming sessions, and technical discussions to continuously grow your development skills. Technical Problem Solving : Under the guidance of senior engineers, participate in technical problem-solving, performance optimization, and system debugging. AI Agent System Productionization : Work closely with product and research teams to translate AI agent logic (e.g., tool-use, planning, reasoning) into robust, production-grade systems. Qualifications

Fluent in Arabic and English (written and spoken). Must be based in Riyadh; remote work is not supported. Bachelor’s or Master’s degree from a global top tier university, major in Computer Science, Artificial Intelligence, Software Engineering, or a related field. 1+ years of software development experience, including internships or personal projects. Solid programming skills in Python or similar languages; familiar with Deep learning framework such as PyTorch; with solid experience in algorithms and implementation of complex coding tasks. Familiarity with LLM workflow development, basic prompt engineering, agent development and model integration is an advantage. Familiar with agent development frameworks and protocols such as dify, LangChain, LangGraph, Autogen, MCP, etc.; those with actual implementation projects are preferred. Strong problem-solving skills, logical thinking, and a passion for technology and AI. Organization & Employment Details

Seniority level : Entry level Employment type : Full-time Job function : Research, Engineering, and Information Technology Industries : Technology, Information and Internet, Technology, Information and Media, and Information Services

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