In a world where artificial intelligence can generate code at the click of a button, the real value is no longer in writing another function.
The value lies in system design, architecture, infrastructure, and full engineering responsibility.
The AI Software Engineer track was built precisely for this reality.
An AI Software Engineer is a software engineer who understands systems end to end:
This is not a developer who specializes in a single technology.
This is an engineer who leads an entire system.
AI accelerates execution, but it does not replace engineering judgment.
As development tools become more intelligent, engineers are required to understand systems at a deeper level.
Responsibility shifts from a single line of code to the entire system.
Greater systems depth is required.
Architectural thinking is required.
Mastery of distributed systems, cloud, and infrastructure is required.
This is the profile the AI Software Engineer track is designed to develop.
To provide the professional depth and systems thinking that enable engineers to:
The focus is not merely on technologies, but on professional leadership capability.
Infinity Labs does not focus solely on teaching new tools, but on developing complete engineers.
The program cultivates:
In an era where automation accelerates execution, strong engineering foundations ensure reliability, stability, and security.
Software development is the foundation of technological innovation. The AI Software Engineer program expands this foundation into an advanced systems-oriented mindset, combining:
The training is intensive and hands-on, simulating a real R&D engineering environment.
Duration:
32 weeks, Sunday – Thursday, from 08:30-18:30.
Locations:
Requirements:
Graduates of the AI Software Engineer career track go on to work in advanced software engineering roles focused on building production systems across high tech companies, startups, defense organizations, and global technology firms.
Through training in software engineering, system architecture, cloud infrastructure, and designing production systems that integrate AI capabilities, graduates join R&D teams where they design and build scalable systems, develop software infrastructure, and integrate AI into production-grade products.
Based on market analysis and the roles our graduates have taken in recent years, alumni of the program can be found in positions such as:
Depending on their background and the needs of the organization, graduates may also take on additional advanced software engineering roles focused on large-scale systems, software infrastructure, and production-grade AI applications.
A Doctor with a deep passion for innovation recognized the transformative potential of Machine Learning as a life-saving tool. During the program, he distinguished himself through his ability to solve complex technological challenges and lead group initiatives.
Today, as a Generative AI Engineer, he designs and implements intelligent smart models at the forefront of technology applying the same high standards he acquired in the medical field.
A Master’s graduate in Data Science with a Bachelor’s degree in Economics and Information Systems chose the program to bridge the gap between academic theory and professional industry demands. Despite his advanced background, he sought in-depth, development-oriented training to integrate directly into the AI field.
Today, as a Data Scientist at a leading FinTech company, he leads the development of models and business processes using Deep Learning, Generative AI, and classical models.
With an impressive academic background combining Music, Neuroscience, and Neurolinguistics, he looked for a path to bring creativity and engineering together. The program enabled him to translate analytical skills into a Generative AI Engineer role in the public sector, with a mission to reshape learning and education.
Today, he develops AI-based applications that deliver personalized learning experiences across large-scale digital systems.
A Computer Science Engineer with a high professional drive chose the program to deepen her expertise in the world of AI and applied development.
Today, as part of a development team at a leading cyber company, her responsibilities include building Generative AI solutions for sophisticated automation environments. Her deep engineering understanding and the ability to implement AI tools enables her to lead technological projects that generate added value for the company’s defense products.
With an engineering background in Physics and Electrical Engineering, he integrated into a role as a GPU Software Engineer, requiring precision and strong problem-solving capabilities. His responsibilities focus on development in CUDA and implementing software solutions that leverage GPU architectures.
The combination of theoretical knowledge and the practical tools he acquired enable him to lead engineering projects at the forefront of technology.
With a strong background in Mathematics and Computer Science, she chose the program to acquire the engineering tools needed for the fields of computer vision and robotics.
Today, as a CV Software Engineer, her responsibilities include developing image processing algorithms for complex robotic systems used in chip inspection. The combination of analytical thinking and advanced development skills enable her to lead technological solutions requiring high precision in sophisticated production environments.
With an academic background in Physics and Mechanical Engineering, he integrated into an engineering role following the program that requires a deep understanding of computing architecture and high-performance systems.
Today, as a GPU Software Engineer at a defense company, his responsibilities include developing and designing algorithms for parallel processing in a CUDA environment for complex communication systems.
A PhD candidate in Mathematics transitioned into an engineering role requiring a deep understanding of algorithms and high-performance computing.
Now a GPU Software Engineer at a defense company, he is responsible for designing systems for parallel processing across large-scale communication infrastructures. The technological skills he developed, combined with his extensive theoretical knowledge, enable him to lead solutions demanding exceptionally high levels of precision and performance.
AI is changing how code is written.
But responsibility, systems thinking, and engineering judgment remain in the hands of the engineer.
The AI Software Engineer track was built to train precisely those engineers.
up to 50,000 NIS to help with living expenses. Payable upon start of employment or after 1 year.
"The typical recruitment process for inexperienced developers often feels like a gamble due to the lack of prior experience and recommendations, so we seek out those who can demonstrate their wisdom and motivation. Infinity Labs R&D's training program stands out as a great route, offering thorough foundational learning with an emphasis on teamwork. I appreciate the structured approach of meeting motivated individuals during our focused recruitment days, knowing they will integrate seamlessly into our company culture. With several Infinity Labs R&D alumni on our team, all proving themselves as adept developers who seamlessly blend in, it's clear the investment pays off"
"We started with a pilot to assess if Infinity Labs R&D graduates could integrate as part of the team and swiftly add value. The pilot was a great success, so we extended our collaboration. The interview screening and selection process is efficient, consistently delivering high-quality candidates with exceptional learning abilities. Over 80% of our recruits are Infinity Labs R&D graduates, with the majority evolving into long-term assets for our company. It serves as a testament to the mutual success fostered by this partnership"
"Some of our recruits were from Infinity Labs R&D, where they undergo dedicated training according to a pre-defined syllabus so that they arrive as ready as possible for our tasks, and they do arrive ready. We got the people, they were successfully absorbed into the organization pretty quickly, and mostly demonstrated independent learning abilities and entered into new domains they were not familiar with prior. Over time I have seen that the quality of the people is truly exceptional. I am very satisfied with the people on both a personal level and professional level"
“There are several reasons why I decided to recruit from Infinity Labs R&D. Knowing that the participants are undergraduates, my understanding is that the training process is very demanding and in general the method includes a lot of practice while studying independently, as well as teamwork which simulates the way I work. Another thing I like is knowing that if I require one’s completion of technological knowledge specific to my needs, Infinity Labs R&D will complete it"
"We needed to recruit a very large number of people and we certainly have a place to recruit those who are completing a degree that is not necessarily in the sciences – or very talented people who are interested in and have a passion for software. It helps us increase our recruitment capacity and get great people"
"The things I look for and that are important to me as an employer are what I have found in our employees from Infinity Labs R&D. They have the ability to learn on their own, to take a task, understand it, go look for solutions, find them and realize them"
"Infinity Labs R&D's processes work well. The workers always come ready, work well, work like everyone else and are an integral part of the production of the company product"
"I was impressed by the learning abilities of the Infinity Labs R&D graduates that we interviewed, especially their mindset – they have a deep understanding of technology and excellent problem-solving skills. We successfully recruited graduates from them for a diverse range of cybersecurity roles. After interviewing several cyber track graduates, we quickly realized we had found the right company to work with, where candidates aligned with our expectations. If you are looking for efficient, high-quality candidates, I strongly recommend recruiting from Infinity Labs R&D"
Over the past few years, we have recruited several Infinity Labs R&D graduates in the fields of DevOps and C++ programming. Every one of them has integrated seamlessly into the company, demonstrating high technical skills, high energy, a desire to learn and improve, and a drive to make an impact. The interview process is efficiently managed, enabling interviewers to select the right candidate quickly and effectively. Infinity Labs R&D has proven itself as a leader in its field, with a professional and dedicated team that pays close attention to detail. I was impressed by the high level of service, deep knowledge, and personal approach.
Graduates of the AI Software Engineer career track go on to work in advanced software engineering roles focused on building production systems across high tech companies, startups, defense organizations, and global technology firms.
Through training in software engineering, system architecture, cloud infrastructure, and designing production systems that integrate AI capabilities, graduates join R&D teams where they design and build scalable systems, develop software infrastructure, and integrate AI into production-grade products.
Based on market analysis and the roles our graduates have taken in recent years, alumni of the program can be found in positions such as:
Depending on their background and the needs of the organization, graduates may also take on additional advanced software engineering roles focused on large-scale systems, software infrastructure, and production-grade AI applications.
