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के

AI Workflow Engineer

Kurasa • كراسة

Saudi Arabia · Part Time

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नौकरी का विवरण

Role summary

Kurasa is looking for an AI Workflow Engineer in Saudi Arabia to help expand creative output by designing, improving, and scaling AI-driven production systems. The role focuses on building smarter workflows that speed up delivery while maintaining strong quality.

Core responsibilities

  • Create and support AI capabilities that assist with creative work.
  • Refine and improve Claude prompts so outputs are more accurate and useful.
  • Design agentic automation and multi-step workflows using Claude and other AI tools.
  • Adopt new Claude features and emerging AI models as they are released.
  • Assess new AI platforms and bring in tools that add value.
  • Run tests, track results, and continuously improve workflow performance.
  • Find slow points or failure points in processes and solve them for better speed and reliability.
  • Write clear internal documentation and maintain runbooks for team use.
  • Keep up with developments in AI and suggest practical improvements or innovations.

Required skills and experience

  • Strong hands-on expertise with Claude, including its API, models, and features.
  • Solid understanding of large language models and how to work with them effectively.
  • Experience using APIs or scripting languages such as Python or Node.js.
  • Ability to build, test, and refine AI-powered solutions through iteration.
  • A systems-oriented mindset with a focus on improving workflows and processes.
  • Careful attention to output quality and detail.
  • Strong problem-solving ability and willingness to experiment.

Preferred background

  • Exposure to DevOps, automation, or workflow optimization.
  • Experience with agentic AI or complex multi-step automation.
  • Familiarity with creating internal tools.
  • Working knowledge of several AI platforms and tools.

Additional information

This is a part-time onsite role based in Saudi Arabia. The position is centered on improving creative production through AI, with a strong emphasis on experimentation, reliability, documentation, and continuous improvement. No salary, number of openings, or start date was specified.

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