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About the Role
Description About Us We are an NVIDIA partner, delivering professional services in advanced software development, artificial intelligence systems, and high-performance AI solutions. We build production-grade AI systems optimized for NVIDIA GPU platforms, working across multiple applied AI domains, including Generative AI / Agentic Systems. Role Overview We are looking for an experienced AI Software Engineer to take a leading role in designing, building, and delivering advanced AI systems for real-world applications. This role is suited for a hands-on engineer with strong software engineering skills and deep experience in applied AI, who enjoys solving complex problems, owning technical solutions end-to-end, and mentoring junior team members. Projects typically focus on LLM or Multimodal LLM based agentic systems. What We Work On Our work spans software engineering and AI domains: • Design and implementation of agentic systems powered by Large Language Models (LLMs) • Deployment of open-source LLMs on NVIDIA GPUs • High-performance inference using NVIDIA technologies such as NVIDIA NIM (Inference Microservices) • System-level design for reliability, scalability, and performance • Multimodal agents for text, image, audio, and video processing • Performance optimization on GPU platforms Key Responsibilities • Lead the design and development of LLM-based agentic systems. • Own end-to-end delivery of AI solutions, from architecture and prototyping to production deployment using rigorous software engineering practices • Optimize model performance, latency, and throughput on NVIDIA GPU platforms • Design clean, maintainable, and scalable 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, AI models, and frameworks and drive their adoption when appropriate Requirements • BSc or MSc in Computer Science, Electrical Engineering, or a related field • 4+ years of experience in software engineering and applied AI (or equivalent) • Strong knowledge of software design and development practices • 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 • Experience working with Large Language Models (LLMs) • Building agentic workflows, reasoning systems, or AI-driven applications • Deploying and optimizing open-source LLMs for inference Nice to Have • 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 with Multimodal LLM agents for text, image, audio, and video processing • Experience with React, TypeScript, Redis Pub/Sub, SQL, Containerized Development • Experience with Test-Driven Development, Agile Scrum methodology, Git workflows • 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 We at Deloitte believe that diversity and inclusion among our people is a critical component of our success and that is why we cultivate an organizational culture that contains and embraces diversity in all its forms.
Workplace
- Haifa
