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.
