AI Engineer

Description

Step into the Future of Cybersecurity!

At CardinalOps, we’re redefining the future of cyber defense. Our innovative platform leverages automation, threat intelligence, and the MITRE ATT&CK framework to ensure organizations have the security controls they need to defend against the threats most relevant to them. By analyzing and optimizing existing security systems, we help organizations safely remediate exposure gaps, reduce risk, and enhance their ability to stay ahead of evolving cyber threats—all without adding unnecessary complexity.

Founded by veterans of Unit 8200 with extensive experience in building groundbreaking cybersecurity solutions, CardinalOps tackles some of the toughest challenges in the field. We’re driven by the belief that smarter, more efficient security can protect industries that power the world, from finance to healthcare and beyond. If you’re excited by the idea of working with cutting-edge technology and solving critical problems, your next big challenge starts here.

We’re looking for a hands-on AI Engineer with strong software development skills and experience in designing, building, and deploying LLM-based solutions — from POC to production.

You’ll play a key role in shaping and delivering core AI functionality across our product, working closely with our CTO.

This is not (only) a data science position — we're looking for someone with real-world engineering experience, who understands the challenges of building scalable systems and is passionate about bringing intelligent capabilities to a cybersecurity product used by enterprise customers.

Requirements

4+ years of hands-on software development experience (TypeScript experience is a plus).
Proven experience in building and deploying LLM-based solutions from POC to production.
Deep understanding of how LLMs work: fine-tuning, RAG, embeddings,prompt engineering. e.g.
Strong communication and collaboration skills; ability to work independently and cross-functionally
Experience in a fast-paced environment
Cybersecurity background is a significant advantage

Responsibilities

As our first AI Engineer, you will be responsible for driving the AI strategy, selecting the right technologies, and leading the development of this domain within the company.
Design and implement LLM-driven features in production
Build POCs and iterate quickly to validate ideas and product directions.
Define KPIs, measure success, and support the implementation of complete features with the engineering group.
Collaborate closely with engineering and product teams to integrate AI into the product.
Monitor, evaluate, and continuously improve the performance of deployed AI systems.
Stay up to date with the evolving LLM and GenAI ecosystem and identify opportunities to apply it to our product.
Provide mentorship and share knowledge with the teams.