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Riser - AI Engineer

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Discussion
  • Design, build, and deploy Generative AI solutions (LLM applications, RAG pipelines, and agentic workflows) that address business needs across AMAN's lines of business.
  • Gather and analyze requirements from business units, translate them into technical solutions, and choose the right approach: a low-code platform such as Dify, or development frameworks such as LangChain, LangGraph, or ARK.
  • Develop and maintain AI agents and orchestration workflows, including tool and API integrations with internal systems and data sources.
  • Design, test, and optimize prompts and retrieval strategies to improve the accuracy, reliability, and cost-efficiency of AI solutions.
  • Package and deploy solutions using Docker, Kubernetes, and CI/CD pipelines, and make sure they are production ready, monitored, and maintainable.
  • Evaluate model and solution performance using defined metrics, troubleshoot issues, and continuously improve deployed use cases.
  • Document solutions, architectures, and reusable components, and contribute to the squad's shared knowledge base and best practices
  • Stay current with emerging AI models, tools, and frameworks, and propose new use cases and improvements to the squad.

Technical Skills

  • Generative AI & LLM Application Development: Expertise in building LLM applications, RAG pipelines, and agentic workflows using frameworks such as LangChain, LangGraph, and Dify.
  • AI Integration & Workflow Orchestration: Proficiency in API integration, AI agent development, and connecting AI solutions with internal systems and data sources.
  • Prompt Engineering & Retrieval Optimization: Ability to design and optimize prompts, retrieval strategies, and evaluation metrics to improve AI accuracy and performance.
  • AI Deployment & DevOps: Hands-on experience with Docker, Kubernetes, CI/CD pipelines, and production monitoring to deploy and maintain scalable AI solutions.

Soft Skills

  • Strong analytical skills, problem-solving, ownership, and accountability
  • High sense of ownership, eager to learn new technologies in a fast-paced environment
  • Effective communication and collaboration abilities within an agile team structure

⁠Education & Background

  • Graduate with a Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or a related technical discipline

Language Skills

  • English: Proficient
  • Arabic: Proficient

Skills

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See also

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