AI Engineer

• Design and implement AI agentic workflows orchestrating language, vision, and speech models
• Build and extend task-driven, tool-using AI agents
• Implement decision logic, memory strategies, and tool-calling mechanisms
• Improve agent reliability through structured prompting, planning, and error handling
• Develop and integrate text-based AI systems, including LLM pipelines, embeddings, rerankers, and RAG architectures
• Build document understanding pipelines using OCR and vision-based models
• Develop and optimize speech-based AI solutions, including STT, TTS, and conversational voice interfaces
• Design and improve multilingual and translation pipelines
• Own AI components or features from design through deployment
• Deploy, monitor, and optimize production AI systems for scalability and cost-efficiency
• Integrate AI components into maintainable and scalable systems
• Implement logging, monitoring, and observability practices
• Define and apply evaluation metrics for AI systems
• Benchmark and optimize models for inference performance and cost-efficiency
• Run experiments and A/B tests
• Identify failure modes and improve model robustness and reliability
• Design and maintain data pipelines for text, document, and audio data
• Analyze model outputs and user interactions for iterative improvements
• Collaborate with product managers, designers, engineers, data teams, and senior engineers
• Support integration, testing, and deployment in production
• Maintain documentation and contribute through code reviews, demos, and technical discussions

Explore AI Engineer at Arabic.AI. Review requirements and application details.

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