Agentic Search & Data Infrastructure
- Center District, Israel
- LinkedIn Public
- אומת כפעיל ·
מוזכר במשרה זו
תיאור
A well-funded, high-growth AI scale-up pioneering next-generation Agentic AI platforms and massive-scale real-time web intelligence. Backed by substantial venture funding across major financing rounds, the company already serves over 100 enterprise paying customers worldwide. The proprietary platform deploys autonomous AI search agents capable of harvesting, indexing, and processing vast amounts of dynamic web data in real time at web-scale. The organization pairs solid financial backing with state-of-the-art AI infrastructure and deep engineering challenges. Located in Tel Aviv within walking distance of the train station, operating on a hybrid model with two days working from home. Role Description- Serving as a Director of Engineering / AI Tech Lead, taking end-to-end technical leadership over the AI Search & Agentic platform from early research and conceptualization to large-scale production deployment. Managing and mentoring two engineering teams through direct Team Leads, while maintaining a strong, hands-on technical presence (30% hands-on coding, architecture, and code reviews). Spearheading the architecture and execution of agentic workflows, multi-agent orchestration, autonomous web-crawling/scraping pipelines, and real-time semantic processing engines. Scaling distributed Big Data infrastructure designed to ingest, index, and process vast volumes of unstructured and structured web data. Bridging research and engineering: partnering with AI/ML researchers to productize complex models, LLM fine-tuning, and retrieval-augmented pipelines into resilient production services. Establishing high engineering standards, architectural roadmaps, and delivery execution across the organization. Requirements- 10 years of overall experience in software engineering, technical leadership, and large-scale infrastructure – Mandatory 2+ years of management experience leading Team Leads / Managers (Group Lead / Engineering Director level) – Mandatory 2 years of hands-on experience in an Agentic AI or AI Infrastructure company – Mandatory Deep, practical, and hands-on expertise in AI / ML engineering, LLMs, and modern Agentic frameworks – Mandatory Proven track record building and scaling Data Infrastructure and systems that ingest, store, and process massive-scale web data (beyond standard enterprise data warehouses) – Mandatory Strong technical passion with the drive to remain hands-on (~30%) in system architecture, core design, and coding – Mandatory Exceptional leadership, execution focus, and fluent technical communication skills in English – Mandatory Show more Show less