Applied AI Engineer
Primesecurity Open · verified Oct 22, 2026 At a glance
Mid-level AI Engineering role at Primesecurity. Tel Aviv-Jaffa · full-time.
Pay not stated Applied AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build machine learning and generative AI systems that sort and interpret risks in application lifecycle management tools
- Connect AI capabilities to product and engineering workflows to help teams spot security concerns earlier
- Review data from multiple sources so the systems can respond to emerging patterns and findings
- Explain proposed AI solutions and their value to people without technical backgrounds
What you bring
- A bachelor’s degree in computer science, AI, machine learning or a related discipline
- Hands-on experience building machine learning models and putting generative AI solutions into production
- Five to seven years working with Python, R or a comparable programming language
- Experience with TensorFlow, Keras, PyTorch or similar machine learning frameworks, plus familiarity with Jira or an equivalent platform
Who this fits
This role suits an applied AI engineer who can work across model development, software workflows and security risk analysis. You’ll also need to communicate technical proposals to non-technical stakeholders. The role is based in Tel Aviv-Jaffa, Israel.
From the employer
Prime Security is pioneering the future of Product Security with the first AI Security Architect. As AI transforms how software gets built, we’re reshaping how it gets secured, shifting security to the design phase, where the biggest impact is made.
Backed by top-tier investors and already trusted by Fortune 500s, Prime is defining a new category and setting the standard for how AI will power the next generation of secure software development.
At Prime Security, we are on the forefront of integrating artificial intelligence with security to empower product security teams. As an Applied AI Engineer, you will be instrumental in architecting and developing the Prime Security AI risk engine. This engine will analyze vast amounts of unstructured data from, assess risks, predict potential security issues, and formulate actionable mitigation strategies.
What will you do:
- Develop and refine machine learning models and generative AI systems to automatically understand and categorize risks in Application Lifecycle Management systems
- Collaborate with product and engineering teams to integrate AI tools seamlessly into existing workflows, enhancing the proactive identification of security risks
- Analyze data from a variety of sources, ensuring that the AI systems adapt to new patterns and insights dynamically
- Participate in the ongoing development of Prime's AI capabilities, pushing the boundaries of automated security risk assessments
- Communicate complex AI concepts and the benefits of proposed solutions to non-technical stakeholders
Qualifications:
- Bachelor's degree in Computer Science, AI, Machine Learning, or a related field
- Proven experience in developing machine learning models and employing GenAI
- solutions in a production environment
- 5 - 7 years of experience working in Python, R, or a similar language
- Experience with data processing and machine learning frameworks such as TensorFlow,
- Keras, or PyTorch
- Familiarity with Jira or similar platforms and an understanding of software development
- and security processes
- Excellent problem-solving skills and the ability to work in a dynamic, fast-paced
- environment