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Senior Data Science and AI Engineer
Negotiable Salary
Indeed
Full-time
Onsite
No experience limit
No degree limit
X68X+JXJ, Maadi Al Khabiri Al Gharbeyah, Maadi, Cairo Governorate 4211302, Egypt
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Description

We are looking for a Senior AI Engineer with over 4 years of experience to lead our AI initiatives. In this role, you will be responsible for driving the design, development, and deployment of cutting\-edge AI solutions. You will provide technical leadership to a team of AI engineers, mentor junior team members, and collaborate closely with stakeholders to deliver impactful AI\-driven products. This position requires deep expertise in machine learning, data engineering, and software development practices. **Responsibilities:** * Lead the end\-to\-end development of AI models. * Architect scalable AI systems and infrastructure to support large\-scale data processing and model training. * Mentor and coach junior AI engineers, fostering a culture of continuous learning and technical excellence. * Collaborate with product managers and business stakeholders to define AI strategy and roadmap. * Conduct research and stay abreast of advancements in AI/ML fields to drive innovation. * Ensure robustness, scalability, and performance of AI solutions in production environments. **Requirements** * Bachelor’s or Master’s. in Computer Science, Engineering, or a related field. * 4\+ years of experience in AI, machine learning, or data science roles, with a proven track record of delivering complex projects. * Proven experience designing and deploying Generative AI (GenAI) systems using large language models (LLMs). * Expertise in Python, TensorFlow, PyTorch, or other ML frameworks. * Strong knowledge of distributed computing, data engineering, and cloud platforms. * Hands\-on experience with RAG architectures, vector search engines, and embedding models. * Deep experience with prompt engineering and LLM fine\-tuning. * Experience building intelligent agent\-based systems using frameworks like LangChain, LangGraph, or CrewAI. * Familiarity with LLM evaluation, observability, and cost/performance optimization. * Hands\-on experience with cloud platforms such as AWS, Azure, or Google Cloud * Excellent leadership, communication, and stakeholder management skills. **Preferred Qualifications:.** * Experience working with multi\-agent architectures, planning/execution agents, or tool\-using LLMs. * Contributions to open\-source GenAI projects, or participation in applied research involving LLMs, embeddings, or agentic reasoning.

Source:  indeed View original post
Sara Hassan
Indeed · HR

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