AI Intern
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Key skills for this role
About the Role
Tabby is seeking an AI Intern to join the AI Agents Platform team, building internal platforms for AI agents and LLM-based automation. Interns will work on real production tasks including building AI agents, configuring workflows, integrating APIs, and improving agent performance.
Key Skills for This Role
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
Requirements
- 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 nationals only
Full Job Posting
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.
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.
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
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