Lead AI Engineer

abra is seeking a Lead AI Engineer! We are seeking a Lead AI Engineer to spearhead the design and implementation of large-scale enterprise AI solutions. This is a hybrid-role (50/50 architecture and hands-on development) with a core focus on RAG (Retrieval-Augmented Generation) systems and AI Agents in a hybrid environment (Azure + On-Prem). As a key member of the team, you will drive technological innovation and integrate advanced AI capabilities into the organizational workflow. Responsibilities Advise business units and lead AI use-case discovery and execution. Design AI solution architectures based on LLMs, RAG, and AI Agents. Perform hands-on end-to-end development of AI services. Build RAG pipelines, including ingestion, chunking, embeddings, and retrieval strategies. Integrate AI solutions with enterprise systems (SharePoint, APIs, and internal platforms). Develop reusable components for the core AI platform. Work extensively with Microsoft 365, Graph API, and Teams. Implement robust security mechanisms, permissions, and Data Loss Prevention (DLP). Mentor teams and establish AI development Best Practices. Full-Time | Haifa Requirements At least 1–2 years of proven, hands-on experience specifically in AI development and implementation. Strong experience in Python development. Proven experience developing RAG systems in production. Hands-on experience with LLMs (Azure OpenAI / OpenAI). Proven track record in designing complex system architectures. Experience in API development. Advantages: Experience with Azure AI Search and App Services. Experience with Semantic Kernel or LangChain. Experience with SharePoint / Graph API. Familiarity with Hybrid environments (Cloud + On-Prem). Experience integrating with ERP systems (e.g., SAP).