AI Intern

Job Summary

Join Tabby’s AI Agents Platform team as an intern to build and configure AI agents and automations that power real workflows across the company. You will work on production systems in a fast-moving, experimental environment with full integration into the engineering team.

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
• 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

Must haves

• 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 national with Saudi passport

Nice to haves

• 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
• Curiosity about AI system behavior and limitations

What the company offers

• Paid internship
• Full integration into the automations building team
• Office-first in Riyadh where possible, with location flexibility for candidates based outside KSA
• Clear path to a junior AI automation, no-code engineer, or platform role based on performance
• Full-time level engagement with flexibility for students’ classes or exams aligned with mentor in advance

We refresh listings regularly, but some roles close early on the source platform.