AI Intern

About the company Tabby builds financial products used by millions of users across the GCC. Alongside core fintech products, we are actively building internal platforms for AI agents and LLM-based automation used across the company. This internship is not educational by default. It is an engineering-adjacent role with real production impact. Context The AI Agents Platform team builds an internal platform that allows teams across Tabby to create, run, evaluate, and iterate on AI agents. These agents automate real human workflows: customer support, operations, fraud checks, data validation, and internal tooling. The platform is young, evolving fast, and already used by multiple teams. The internship is designed for candidates who are comfortable working in ambiguous, experimental environments and can think in systems rather than isolated tasks. What you will do This is not a demo or experimentation-only role. Interns work on real agents, workflows, and internal tools. 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 Help 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 Work closely with platform engineers, product managers, and internal users Required 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 sufficient for documentation and team communication Strong plus Experience with LLMs, AI agents, or automation Experience building internal tools or automations Experience with Python Education in data science, machine learning field Understanding of prompt design or agent orchestration concepts Familiarity with evaluation, testing, or quality metrics Curiosity about AI system behavior and limitations What we do not expect Expert-level knowledge of LLMs, agent frameworks, or prompt engineering Prior professional AI, automation, or platform engineering experience Mastery of all listed no-code platforms or LLM tooling Deep knowledge of ML internals, model training, or RAG architectures Eligibility Saudi nationals only Self-funded internship by Tabby We welcome both current students and fresh grads We expect a full-time level of engagement throughout the internship. The program is not part-time: interns should be ready to contribute at a full working-day pace. We understand that students may occasionally need flexibility for classes or exams, which can be aligned with the mentor in advance, but overall performance, ownership, and context involvement are expected at a full-time level. • 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 sufficient for documentation and team communication • Strong plus : Experience with LLMs, AI agents, or automation • Strong plus : Experience building internal tools or automations • Strong plus : Experience with Python • Strong plus : Education in data science, machine learning field • Strong plus : Understanding of prompt design or agent orchestration concepts • Strong plus : Familiarity with evaluation, testing, or quality metrics • Strong plus : Curiosity about AI system behavior and limitations • What we do not expect : Expert-level knowledge of LLMs, agent frameworks, or prompt engineering • What we do not expect : Prior professional AI, automation, or platform engineering experience • What we do not expect : Mastery of all listed no-code platforms or LLM tooling • What we do not expect : Deep knowledge of ML internals, model training, or RAG architectures • Eligibility : Saudi nationals only • Self-funded internship by Tabby • We welcome both current students and fresh grads • We expect a full-time level of engagement throughout the internship. The program is not part-time: interns should be ready to contribute at a full working-day pace. We understand that students may occasionally need flexibility for classes or exams, which can be aligned with the mentor in advance, but overall performance, ownership, and context involvement are expected at a full-time level.