Senior AI Engineer

Role Overview: We are seeking a hands-on Senior AI Engineer to design, build, and deploy enterprise AI solutions using Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI. The ideal candidate combines strong AI expertise with software engineering skills and has experience taking AI applications from concept through production. Key Responsibilities: · Design and develop production-grade Generative AI and LLM applications. · Build and optimize RAG pipelines, including document processing, chunking, embeddings, retrieval, reranking, and response generation. · Design and implement AI agents and agentic workflows capable of reasoning, tool calling, and interacting with enterprise systems. · Develop AI capabilities for enterprise search, Q&A, summarization, document analysis, extraction, and decision support. · Integrate AI solutions with APIs, databases, document repositories, search platforms, and enterprise applications. · Develop APIs and reusable AI services supporting multiple applications and use cases. · Optimize prompts, retrieval strategies, model selection, context management, latency, scalability, and cost. · Implement AI evaluation frameworks covering accuracy, hallucination, retrieval quality, task success, and performance. · Implement guardrails and controls addressing prompt injection, data leakage, inappropriate tool usage, and other AI security risks. · Deploy, monitor, troubleshoot, and continuously improve AI applications in production. Skills & Qualifications: · 4+ years of experience in AI/ML Engineering, Software Engineering, or related fields, with strong recent experience in Generative AI. · Expert-level proficiency in Python. · Strong hands-on experience with LLMs, RAG, embeddings, vector search, and prompt engineering. · Experience building AI agents, tool/function calling, and agentic workflows. · Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar frameworks. · Experience with PyTorch, Hugging Face Transformers, and open-source or commercial LLMs. · Strong API and backend development experience, including integration with enterprise systems. · Experience with AI evaluation, guardrails, LLM security, and production monitoring. · Experience with cloud AI platforms. · Experience with OCR, document intelligence, multimodal AI, and Arabic-language AI applications is highly desirable. · Strong software engineering, problem-solving, communication, and technical leadership skills.