Job Description

Roles & Responsibilities

This is a full-time, on-site role for a Senior AI Engineer located in Cairo, Egypt. The Senior AI Engineer will be responsible for designing, developing, and deploying AI-powered solutions that enhance business processes, automate workflows, and support data-driven decision-making. The role involves collaborating with cross-functional teams, researching emerging AI technologies, building machine learning models, developing generative AI applications, and ensuring successful deployment of AI solutions into production environments.

Responsibilities

• Design, develop, and maintain AI and Machine Learning solutions for internal and client-facing projects.
• Build and optimize Generative AI applications using Large Language Models (LLMs).
• Develop AI-powered chatbots, assistants, automation tools, and intelligent workflows.
• Fine-tune and evaluate AI models for performance, scalability, and reliability.
• Implement Retrieval-Augmented Generation (RAG) architectures and vector database solutions.
• Integrate AI solutions with ERPNext, Frappe applications, and third-party systems through APIs.
• Collaborate with stakeholders to identify AI opportunities and translate business requirements into technical solutions.
• Conduct research on emerging AI technologies and recommend innovative applications.
• Establish AI development standards, best practices, and governance frameworks.
• Optimize model performance, inference speed, and operational costs.
• Monitor deployed AI systems and continuously improve their effectiveness.
• Mentor junior AI engineers and support knowledge sharing across teams.
• Create and maintain technical documentation for AI solutions and implementations.

Desired Candidate Profile

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
• 3+ years of experience in software development, including at least 3 years focused on AI/ML solutions.
• Strong experience with Python and AI development frameworks.
• Hands-on experience with LLMs such as OpenAI, Claude, Gemini, or open-source alternatives.
• Experience with Machine Learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of RAG architectures, vector databases, embeddings, and prompt engineering.
• Experience with AI orchestration frameworks such as LangChain, LlamaIndex, CrewAI, or similar.
• Experience integrating AI solutions through REST APIs and microservices.
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud is a plus.
• Strong analytical, problem-solving, and communication skills.
• Ability to lead technical initiatives and mentor team members.
• Fluent in Arabic and English (written and spoken).