low-code developer

Tabby develops financial products for millions of users across the GCC. The company also builds internal platforms for AI agents and LLM-based automation to support various business operations.

• Build AI agents and automations using internal no-code and low-code tooling;
• Configure agent workflows, tools, and orchestration logic;
• Integrate agents with internal systems via APIs and tools;
• Participate in designing agent architectures and workflows;
• Test, evaluate, and iterate on agent behavior and quality;
• Work with datasets and evaluation results to improve agent performance;
• Document agent logic, workflows, and best practices;
• Collaborate with platform engineers, product managers, and internal users.

• Strong logical and systems thinking;
• Ability to break down human workflows into structured steps;
• Understanding of how web services, APIs, and tools interact;
• Experience with no-code or low-code platforms;
• Basic understanding of data formats (JSON), APIs, and webhooks;
• Ability to reason about edge cases, failure modes, and correctness;
• High level of ownership and responsibility;
• Comfort with fast iteration and experimental environments;
• English for documentation and team communication;
• Saudi national (Saudi passport required);
• Nice to have: Experience with LLMs, AI agents, or automation, experience building internal tools or automations, experience with Python, education in data science or machine learning, understanding of prompt design or agent orchestration, familiarity with evaluation, testing, or quality metrics, curiosity about AI system behavior and limitations.

• Paid internship;
• Clear path to a junior AI automation, no-code engineer, or platform role based on performance.