AI Engineer II

Finaira · Cairo, Egypt · Posted 2026-03-14

The AI Engineer II designs, builds, and deploys scalable AI systems spanning classical ML, LLMs, and agentic architectures. This role drives the development of intelligent agents, optimized inference pipelines, and automated AI workflows, while mentoring junior engineers and shaping best practices in MLOps and AgentOps.Focus: Solution Architecture Agentic Systems Model Optimization MentorshipThe difference you will make:Architect and implement end-to-end AI solutions, from data pipelines to agentic reasoning systemsDesign and maintain training and inference pipelines for both ML and LLM modelsLead fine-tuning, LoRA training, prompt-tuning, and model evaluation initiativesBuild and orchestrate agentic workflows—including tool calling, memory management, and multi-agent coordinationIntegrate AI models with applications through robust APIs and servicesDefine and enforce standards for MLOps and AgentOps (versioning, deployment, monitoring, evaluation)Establish evaluation frameworks for predictive and generative systems (performance, accuracy, factuality, safety)Troubleshoot complex AI infrastructure issues and ensure production reliabilityMentor AI Engineer 1 associates and lead code reviews and knowledge sharingCollaborate with cross-functional teams (product, data, UX, DevOps) to translate business problems into AI solutionsRequirementsEducation: Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, or a related quantitative field. Master's degree preferredExperience: 3+ years hands-on AI/ML development and deployment experienceTechnical Skills:Expertise in Python and ML/LLM frameworks (PyTorch, TensorFlow, Transformers, LangChain, vLLM)Strong knowledge of MLOps & AgentOps tools (Docker, Kubernetes, CI/CD, Ray Serve, MLFlow)Experience with cloud AI platforms (AWS SageMaker, Azure ML, GCP Vertex AI)Proficiency in databases (SQL/NoSQL) and data pipeline designExpertise in fine-tuning, adapter training (LoRA), and RAG pipelinesStrong understanding of prompt design, multi-agent orchestration, memory architectures, and tool integrationFamiliar with AI safety, evaluation, and governance frameworksSoft Skills: Strategic problem-solving and innovation mindsetExcellent communication with both technical and non-technical stakeholdersTeam leadership and mentorship skillsCuriosity for research and emerging AI techniquesFinaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.

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