Technology Consulting - Data & AI - AI Engineers (Agentic AI) - Cairo
Tasks
- Apply responsible AI practices
- Build RAG pipelines
- Design AI agents and multi-agent systems
- Develop scalable AI services using APIs and microservices
- Evaluate and improve LLM and RAG performance
- Implement AI safety and governance controls
- Integrate LLMs with enterprise systems
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AI Agents | AI Safety | AI Search | Agent systems | Arize Phoenix | Asyncio | Autogen | Autonomous Agents | Azure AI | Azure AI Search | Azure Container | Azure Container Apps | Azure DevOps | Azure OpenAI | B testing | BM25 | Bias Fairness Evaluation | Bias/fairness | CI/CD | ChromaDB | Container Apps | Content Moderation | Contextual compression | CrewAI | Deep learning | Distributed Logging | Docker | Document chunking | Dspy | Embeddings | Event Driven | Event-driven architecture | Fairness evaluation | Faiss | FastAPI | Feature Engineering | Fine Tuning | Flask | GitHub Actions | GraphRAG | Guardrails AI | Hallucination detection | Hugging Face | Hugging Face Transformers | Human-in-the-loop | Hybrid search | Injection prevention | Knowledge graphs | Kubernetes | LIME | LLM orchestration | Langchain | Langgraph | Langsmith | Language Models | Language Processing | Large Language Models | Llamaindex | LoRA | Microservices | Milvus | Model Explainability | Model Fine-tuning | Model Training | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Observability | OpenAI API | PGVector | Pinecone | Prompt engineering | Prompt evaluation | Prompt injection | Prompt injection prevention | PydanticAI | Python | QLoRA | Qdrant | RAG evaluation | REST APIs | RLHF | Re-ranking | Red Teaming | Responsible AI | SHAP | Semantic Kernel | Semantic Search | The Loop | Tracing | Transformer Architecture | TypeScript | Vector Databases | Weaviate | Weights and Biases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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