AI Engineering Lead
On-site · Cairo, Cairo, Egypt or Amman, Amman, Jordan
Job Summary
AI Engineering Lead - Conversational: Architect, build, and operate a real-time AI customer support platform with ultra-low latency. Lead a lean team to design and implement AI-driven customer care systems, autonomous multi-agent orchestration workflows, and RAG pipelines using open-source LLMs. Develop scalable, production-grade systems with secure APIs (FastAPI/gRPC), containerized (Docker) and orchestrated (Kubernetes) deployments, and robust monitoring/metrics (MRR, Recall@k, NDCG, latency). Drive optimization techniques (quantization, pruning, batching, token streaming, semantic caching) and ensure alignment with service contracts across teams. Champion data security, GDPR/PDPL compliance, and responsible AI, including PII redaction and end-to-end encryption. Maintain high standards of software engineering, lead design/code reviews, mentor engineers, and promote clean architecture and SOLID principles. Requirements include a Bachelor’s degree and 5+ years in production AI/NLP, with 2+ years in a technical leadership role; expertise in Java or Python and frameworks/tools such as PyTorch, Scikit-learn, Hugging Face, LangChain, LlamaIndex, vector databases, and MLOps.
Required Qualifications
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field
- 5+ years delivering production AI/NLP systems
- 2+ years as a technical lead or senior staff engineer
- Proven experience owning real-time conversational AI/RAG platforms at massive scale
- Expert proficiency in Java or Python
- Strong knowledge of PyTorch, Scikit-learn, Hugging Face, LangChain, LlamaIndex
- Experience with vector databases (Pinecone, Weaviate, Milvus)
- Experience with Docker and Kubernetes
- CI/CD and MLOps
- Strong data security and compliance knowledge (GDPR, PDPL a plus)
- Arabic & English language proficiency
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