AI Agent Specialist

About the Company Boston Oncology Arabia is an integrated specialty pharmaceutical company bringing high-quality medicines to Saudi Arabia and regional markets. Working across the full product journey, from portfolio development and regulatory approval to local production and commercial supply, Boston Oncology connects every stage within one Saudi-based organization. As the company continues to grow and develop its digital capabilities, technology and intelligent automation play an important role in improving operational efficiency, supporting business processes, and enabling smarter ways of working. About the Role Boston Oncology Arabia is seeking an innovative and technically skilled AI Agent Developer / AI Agent Specialist to join its team in Saudi Arabia. This role will focus on designing, developing, and deploying AI agents and automated workflows to transform manual business processes into intelligent, reliable, and scalable solutions. The successful candidate will work on building autonomous AI agents, integrating them with internal systems, developing reusable automation capabilities, and managing scheduled tasks to support business operations. This is an opportunity to contribute directly to the company's digital transformation by applying AI technologies to real business challenges. Responsibilities • Design, build, and deploy AI agents and multi-agent workflows to automate business processes. • Identify manual operational tasks that can be transformed into automated AI-driven workflows. • Develop automated solutions for reporting, data validation, employee onboarding, and other business processes. • Configure AI agent memory, identity, and behavioral instructions to ensure consistent performance across sessions. • Develop reusable agent skills and automated procedures for complex, multi-step tasks. • Integrate AI agents with internal systems and business applications using APIs, MCP servers, and communication platforms. • Configure scheduled tasks and automated workflows using cron jobs. • Deploy and monitor AI agents on local or cloud-based servers, ensuring reliability and continuous operation. • Manage integrations with AI platforms and LLM APIs, including OpenAI, Anthropic, and other AI models. • Monitor agent performance, troubleshoot issues, and continuously improve automation workflows. Qualifications • Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field. • 2–4 years of relevant technical, software development, AI, or automation experience. • Practical, hands-on experience installing, configuring, and working with AI Agent frameworks. • Experience building and deploying AI agents and automated workflows is highly preferred. Required Skills • Hands-on experience with AI development tools and frameworks, such as Claude Code. • Programming knowledge in Python or JavaScript. • Experience with workflow automation tools such as n8n or Zapier. • Understanding of APIs, webhooks, and MCP servers. • Basic knowledge of Linux, command-line operations, VPS, and server environments. • Familiarity with LLM APIs, including OpenAI and Anthropic. • Understanding of agent memory, reusable skills, workflow orchestration, and task scheduling. • Strong problem-solving, analytical, and troubleshooting skills. • Ability to translate business requirements into practical AI automation solutions.

Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field. 2–4 years of relevant technical, software development, AI, or automation experience. Practical, hands-on experience installing, configuring, and working with AI Agent frameworks. Experience building and deploying AI agents and automated workflows is highly preferred.

Design, build, and deploy AI agents and multi-agent workflows to automate business processes. Identify manual operational tasks that can be transformed into automated AI-driven workflows. Develop automated solutions for reporting, data validation, employee onboarding, and other business processes. Configure AI agent memory, identity, and behavioral instructions to ensure consistent performance across sessions. Develop reusable agent skills and automated procedures for complex, multi-step tasks. Integrate AI agents with internal systems and business applications using APIs, MCP servers, and communication platforms. Configure scheduled tasks and automated workflows using cron jobs. Deploy and monitor AI agents on local or cloud-based servers, ensuring reliability and continuous operation. Manage integrations with AI platforms and LLM APIs, including OpenAI, Anthropic, and other AI models. Monitor agent performance, troubleshoot issues, and continuously improve automation workflows.