AI Team Leader

An exclusive, stealth-mode deep-tech startup that engineers cutting-edge Generative AI platforms tailored specifically for the global semiconductor industry.

Founded by a highly successful serial chip-design entrepreneur with a legendary multibillion-dollar exit track record, the organization is heavily funded and operates under an elite, high-performance culture.

The engineering roster is comprised entirely of industry veterans sourced from major semiconductor giants and successful tech exits. The company is scaling its operations sustainably, maintaining a tight-knit workforce of several dozen professionals.

The enterprise operates out of a central Tel Aviv tech hub (directly adjacent to the main transit hub), complemented by a hybrid model.

Position Overview-

• Agentic AI & Algorithms Team Leader taking full professional and managerial ownership of an elite squad of 4 to 5 Algorithm Engineers and Data Scientists.

• Leading the end-to-end R&D lifecycle from deep theoretical research and training through to high-scale production deployment of state-of-the-art Agentic AI products.

• Architecting, developing, and deploying complex systems driven by Large Language Models (LLMs), incorporating advanced autonomous mechanisms such as planning, persistent memory, dynamic tool usage, and continuous feedback loops.

• Directing end-to-end Machine Learning and Deep Learning pipelines, encompassing model training, fine-tuning, alignment, and runtime inference/serving optimizations.

• Spearheading low-level hardware-software co-design and performance tuning utilizing acceleration layers and advanced model optimization frameworks.

• Core Domain & Ecosystem- Agentic AI Architecture, Semiconductor Tech Applications, LLM Production Systems, Machine Learning & Deep Learning, Core Optimization (CUDA, Triton), Inference Serving, Advanced Decoding (Quantization, KV-Cache, Speculative Decoding), Planning & Tool Usage Frameworks.

Requirements-

• Academic Background: B.Sc. or higher (M.Sc./Ph.D. preferred) in Computer Science, Electrical Engineering, Mathematics, or Physics from a top-tier academic institution – Mandatory

• Technical Leadership: Proven track record leading engineering projects or multidisciplinary teams end-to-end, with direct ownership over system architecture, execution, and product delivery – Mandatory

• System-Level ML Expertise: Significant, hands-on experience building, scaling, and shipping production-grade ML/LLM systems, with a deep understanding of LLM serving infrastructures and inference optimization – Mandatory

• Hardware-Adjacent AI Optimization: Proficient technical familiarity or hands-on exposure to high-performance AI frameworks and hardware/software co-design principles (CUDA, Triton, Quantization, KV-cache, or Speculative Decoding) – Mandatory

• Agentic AI Drive: Deep passion for advanced autonomous AI agents, building robust integration plugins, using the latest testing harnesses, and continuously adopting cutting-edge algorithmic methodologies – Mandatory

154128