AI Intern

Tabby | تابي; Riyadh; Hybrid; SAR 20,088 - 33,480; Full time

Job summary

Tabby | تابي is seeking an engineering-adjacent intern for the AI Agents Platform team. You will build AI agents and automations using internal no-code/low-code tooling, configure workflows, and integrate with internal systems to automate customer support, operations, and data validation.

This role emphasizes fast iteration in a distributed engineering context, with potential growth into junior AI automation or platform roles.

Qualifications

• Strong analytical and systems thinking required for designing AI agents and automation.
• Ability to break down human workflows into structured steps and reassemble into robust automations.
• Understanding of how web services, APIs, and tools interact in distributed environments.
• Experience with no-code or low-code platforms to build agent workflows.
• Basic familiarity with data formats (JSON), APIs, and webhooks.
• Demonstrated ownership and responsibility in ambiguous projects.
• Comfort with fast iteration and experimental environments.
• Proficient English for documentation and team communication.

Responsibilities

• 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.
• Collaborate with platform engineers, product managers, and internal users.

Skills

Strong logical and systems thinking

Workflow decomposition

Web services & APIs understanding

No-code/low-code platforms

JSON, APIs, webhooks basics

Ownership & responsibility

Fast iteration mindset

English communication

Automation thinking

Tools

Python

Job description

Department: Customer Happiness, Engineering

Location: KSA

Description

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. 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.

Key Responsibilities

• 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.

Format

• Paid internship
• Full integration into the automations building team
• Distributed engineering team across multiple countries
• Open to Saudi nationals (Saudi passport required); location flexible – candidates may be based outside KSA
• Office-first in Riyadh where possible
• Clear path to a junior AI automation, no-code engineer, or platform role based on performance

This internship is intentionally demanding and designed for candidates aiming for fast professional growth in AI agents and automation engineering.