Role overview
- Agentic AI & Large Language Models
- Computer Vision & Deep Learning
Responsibilities
- Lead the design and development of AI systems in either LLM-based agentic systems or computer vision
- Own end-to-end delivery of AI solutions, from architecture and prototyping to production deployment
- Optimize model performance, latency, and throughput on NVIDIA GPU platforms
- Design clean, maintainable, and scalable AI software architectures
- Collaborate with customers, product teams, and engineers to translate requirements into technical solutions
- Mentor junior engineers and contribute to technical best practices
- Evaluate new tools, models, and frameworks and drive their adoption when appropriate
Basic qualifications
BSc or MSc in Computer Science, Electrical Engineering, or a related field
2+ years of experience in software engineering and applied AI (or equivalent)
Strong proficiency in Python and modern AI frameworks Proven experience delivering production-grade AI systems
Solid understanding of deep learning architectures (CNNs, transformers)
Experience with system-level design, debugging, and performance optimization
Domain-Specific Experience (One or More)
LLM / Agentic Systems:
Experience working with Large Language Models (LLMs) Building agentic workflows, reasoning systems, or AI-driven applications Deploying and optimizing open-source LLMs for inference
Computer Vision:
Strong background in computer vision and deep learning Hands-on experience with detection, segmentation, and tracking models
Experience with video pipelines and real-time or near-real-time systems
Preferred qualifications
Experience with NVIDIA technologies (CUDA, TensorRT, Triton, NVIDIA NIM)
Experience with GPU performance profiling and optimization Background in high-performance or low-latency systems
Experience mentoring engineers or leading technical initiatives
What We Offer Ownership of complex, high-impact AI projects Work with cutting-edge NVIDIA GPU and AI technologies Influence over architecture, tooling, and technical direction A collaborative, engineering-driven culture Opportunities for technical leadership and professional growth Real-world, production-scale AI challenges Full time Job
Location: Haifa, Hybrid
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