AI Engineer
Role overview
- check_circle Agentic AI & Large Language Models
- check_circle Computer Vision & Deep Learning
Responsibilities
- check_circle Lead the design and development of AI systems in either LLM-based agentic systems or computer vision
- check_circle Own end-to-end delivery of AI solutions, from architecture and prototyping to production deployment
- check_circle Optimize model performance, latency, and throughput on NVIDIA GPU platforms
- check_circle Design clean, maintainable, and scalable AI software architectures
- check_circle Collaborate with customers, product teams, and engineers to translate requirements into technical solutions
- check_circle Mentor junior engineers and contribute to technical best practices
- check_circle 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
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.
**Share this job
Tags & Focus Areas
About Deloitte
· Do you want to learn and grow from top experts in the Finance and Performance space? · Are you excited to have real-world opportunities to develop your Finance skills? · Get hands-on experience in one the best consulting careers available