Technology Consulting - Data & AI - AI Engineers (Agentic AI) - Cairo

Job SummaryWe are seeking a highly skilled AI Engineer (Agentic AI) to support the design and delivery of next-generation AI solutions leveraging large language models (LLMs), autonomous agents, and advanced machine learning techniques. The role will enable AI-driven transformation by building intelligent systems such as copilots, multi-agent workflows, and RAG solutions.About The RoleThis role sits within the Technology Consulting – Data & AI practice. The candidate will translate business challenges into AI use cases and deliver production-grade AI systems across the full lifecycle.Key Responsibilities Design and develop AI agents and multi-agent systems Build RAG pipelines Develop scalable AI services using APIs and microservices Integrate LLMs with enterprise systems Apply Responsible AI practices Engage with stakeholders and present solutionsRequired Experience & Qualifications 2–6 years of experience in AI engineering or MLKey Skills & Competencies1 - Agentic AI & LLM Eng – Mandatory – Weight 10 – Core Competencies:AI AgentsAutonomous AgentsMulti-agent systemsLLM ApplicationsLLM OrchestrationGenerative AI EngineerAI Copilot DevelopmentPrompt Engineering2 – Framework and Tooling – Mandatory – Weight 10 – Core Competencies:LangChainLangGraphSemantic KernelAutoGen (Microsoft)CrewAILlamaIndexOpenAI API / Azure OpenAIHugging Face TransformersDSPyInstructor / Pydantic AIGuardrails AILangSmith3 – Data Science/Machine Learning – Mandatory – Weight 10 – Core Competencies:Deep LearningNLP (Natural Language Processing)Data ScienceModel training / evaluationFeature engineeringFine-tuning LLMs (LoRA / QLoRA)RLHF / alignment techniquesModel benchmarkingTransformer architecture4 – Cloud Native architecture – Mandatory – Weight 10 – Core CompetenciesPythonAPI developmentREST APIsMicroservicesFastAPI / FlaskAsync programming (asyncio)DockerCI/CD pipelinesEvent-driven architectureTypeScript (nice to have)5 – RAG & Retrieval Systems – Mandatory – Weight 10 – Core CompetenciesRAG (Retrieval-Augmented Generation)Vector databasesEmbeddingsSemantic searchHybrid search (BM25 + vector)Document chunking strategiesRe-ranking (Cohere, cross-encoder)Knowledge graphsGraphRAGContextual compression6 – Vector DB and Search – Mandatory – Weight 10 – Core CompetenciesPineconeFAISSChromaDBWeaviateAzure AI SearchQdrantMilvuspgvector (PostgreSQL)7 – Cloud Platform & DevOps – Mandatory – Weight 10 – Core CompetenciesAzure (Azure OpenAI, AI Foundry) OR AWS (Bedrock, SageMaker) OR GCP (Vertex AI)DockerKubernetesAzure Container AppsGitHub Actions / Azure DevOps8 – Observability & Evaluation – Mandatory – Weight 10 – Core CompetenciesLangSmithWeights & BiasesArize AI / PhoenixPrompt evaluation frameworksRAGAS (RAG evaluation)A/B testing of AI outputsHallucination detectionTracing & distributed loggingEval-driven development9 – AI Safety and Governance – Mandatory – Weight 10 – Core CompetenciesResponsible AI principlesPrompt injection preventionGuardrails implementationOutput filtering / content moderationBias & fairness evaluationModel explainability (SHAP, LIME)Human-in-the-loop (HITL)EU AI Act / SDAIA NAII awarenessRed-teaming LLMs10 – General - – Optional – Weight 10 – Core CompetenciesGitHub with GenAI / agent projectsBuilt chatbots / copilots in productionAzure OpenAI / OpenAI APIs / Anthropic ClaudeExperience integrating tools into LLMsProduction deployment experienceOpen-source contributions (LangChain etc.)Technical blog / papers on AI agentsConference talks or demosAdditional Requirements Fluent in English Strong communication and stakeholder skills Portfolio or GitHub projects preferred