The Role
Build and configure AI agents and automations using no-code/low-code tooling, integrate agents with internal systems via APIs, test and evaluate agent behavior, work with datasets to improve performance, document workflows and best practices, and collaborate closely with platform engineers, product managers, and internal users to deliver production-impacting automation.
Summary Generated by Built In
About the company
This internship is not educational by default. It is an engineering-adjacent role with real production impact.
Context
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
What you will do
Skills, Knowledge & Expertise
Eligibility
Format
About
Tabby creates financial freedom in the way people shop, earn and save, by reshaping their relationship with money.The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 32,000 global brands and small businesses, including Amazon, Noon, IKEA and Shein use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores.Tabby has generated over $7 billion in transaction volume for its partner brands and has the highest rated, most reviewed, largest and fastest growing app of any fintech in the GCC region.Tabby launched operations in 2020 and has raised +$1 billion in equity and debt funding from global and regional investors.
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
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
- 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
- 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
- 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
Skills, Knowledge & Expertise
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.
About
Tabby creates financial freedom in the way people shop, earn and save, by reshaping their relationship with money.The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 32,000 global brands and small businesses, including Amazon, Noon, IKEA and Shein use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores.Tabby has generated over $7 billion in transaction volume for its partner brands and has the highest rated, most reviewed, largest and fastest growing app of any fintech in the GCC region.Tabby launched operations in 2020 and has raised +$1 billion in equity and debt funding from global and regional investors.
Skills 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
- Saudi nationality (Saudi passport required)
- Self-funded internship
- Full-time level of engagement throughout the internship
- 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 concepts
- Familiarity with evaluation, testing, or quality metrics
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Tabby is a financial technology company on a mission to create financial freedom by reshaping people's relationship with money through buy now, pay later services, allowing consumers to split purchases into interest-free payments.
