Description
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).
