{"id":2348408,"url":"https://alion.io/job/raya-holding-riser-ai-engineer","title":"Riser - AI Engineer","company":{"id":57502,"name":"Raya Holding","domain":"rayacorp.com","url":"https://alion.io/company/raya-holding","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Egypt"],"countries":["EG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Agile","optional":false},{"name":"AI 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LangGraph, or ARK.\nDevelop and maintain AI agents and orchestration workflows, including tool and API integrations with internal systems and data sources.\nDesign, test, and optimize prompts and retrieval strategies to improve the accuracy, reliability, and cost-efficiency of AI solutions.\nPackage and deploy solutions using Docker, Kubernetes, and CI/CD pipelines, and make sure they are production ready, monitored, and maintainable.\nEvaluate model and solution performance using defined metrics, troubleshoot issues, and continuously improve deployed use cases.\nDocument solutions, architectures, and reusable components, and contribute to the squad's shared knowledge base and best practices\nStay current with emerging AI models, tools, and frameworks, and propose new use cases and improvements to the squad.\n Technical Skills\nGenerative AI & LLM Application Development: Expertise in building LLM applications, RAG pipelines, and agentic workflows using frameworks such as LangChain, LangGraph, and Dify.\nAI Integration & Workflow Orchestration: Proficiency in API integration, AI agent development, and connecting AI solutions with internal systems and data sources.\nPrompt Engineering & Retrieval Optimization: Ability to design and optimize prompts, retrieval strategies, and evaluation metrics to improve AI accuracy and performance.\nAI Deployment & DevOps: Hands-on experience with Docker, Kubernetes, CI/CD pipelines, and production monitoring to deploy and maintain scalable AI solutions.\nSoft Skills\nStrong analytical skills, problem-solving, ownership, and accountability\nHigh sense of ownership, eager to learn new technologies in a fast-paced environment\nEffective communication and collaboration abilities within an agile team structure\nEducation & Background\n Graduate with a Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or a related technical discipline\nLanguage Skills\nEnglish: Proficient\nArabic: 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