Junior AI Engineer

About Us

We are an NVIDIA partner, delivering professional services in advanced software development, artificial intelligence systems, and high-performance AI solutions.

Our teams build production-grade AI solutions optimized for NVIDIA GPU platforms, working across multiple applied AI domains, including Generative AI / Agentic Systems and Computer Vision.

Role Overview

We are looking for a motivated Junior AI Engineer with a strong foundation in software development and a passion for building applied AI systems to join our growing team.

The ideal candidate is a recent graduate or junior engineer with academic or early industry experience in modern AI techniques, eager to grow in a collaborative, fast-paced, and hands-on environment.

What We Work On

Our work focuses on two main domains. Projects typically focus on one domain or the other, and engineers may work primarily in either area depending on project needs and interests:

1. Agentic AI & Large Language Models

• Design and development of agentic systems powered by Large Language Models (LLMs)
• Deployment of open-source LLMs on NVIDIA GPUs
• Inference and optimization using NVIDIA technologies, including NVIDIA NIM (Inference Microservices)

2. Computer Vision & Deep Learning

• Development of AI-based computer vision systems
• Models based on CNNs and transformer architectures
• Tasks including detection, segmentation, and tracking

Key Responsibilities

Note: Depending on the project, responsibilities may focus primarily on either LLM-based agentic systems or computer vision systems.

• Contribute to the development of agentic AI systems built on Large Language Models (LLMs)
• Assist in deploying and optimizing open-source LLMs on NVIDIA GPU infrastructure
• Support the design, training, evaluation, and optimization of deep learning models for computer vision tasks
• Develop and maintain AI-related software components using Python
• Collaborate with senior engineers and researchers to integrate AI capabilities into real-world products
• Assist in performance profiling, optimization, and validation of AI models on GPU platforms
• Continuously learn and apply new tools, frameworks, and best practices in applied AI

Desired Background & Skills

Required:

• BSc (or higher) in Computer Science, Electrical Engineering, Data Science, or a related field
• Strong programming skills in Python
• Understanding of deep learning fundamentals (e.g., neural networks, CNNs, transformers)
• Interest in applied AI systems and real-world deployments

Nice to Have:

• Familiarity with Large Language Models (LLMs) and generative AI concepts
• Exposure to computer vision projects (detection, segmentation, tracking)
• Interest in GPU-accelerated computing
• Experience or coursework related to NVIDIA platforms, CUDA, TensorRT, or NVIDIA NIM

What We Offer

• Hands-on experience with cutting-edge AI systems and NVIDIA GPU technologies
• Exposure to both generative AI and computer vision domains
• Mentorship and professional growth opportunities
• A collaborative, engineering-driven work environment
• The opportunity to work on real-world, production-grade AI solutions

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.