AI Engineer

Description

Paragon is on a mission to transform the world of cyber intelligence. Based in Tel Aviv, our innovative team is made up of top-tier talent who are passionate about making an impact. At Paragon, you’ll have the freedom to think boldly, collaborate with purpose, and grow alongside a team united by a shared mission; striving for excellence, and always looking out for one another. We are looking for an experienced AI Infrastructure Engineer to join our highly technical R&D organization (~300 engineers). This role focuses on building and operating the infrastructure, tooling, and platforms that enable AI development , rather than developing models themselves. You will work at the intersection of DevOps, backend engineering, and AI systems , supporting advanced teams in a secure, on-premises environment .

Responsibilities

• Design, build, and maintain AI infrastructure and platforms within our R&D environment
• Develop and operate training and inference environments (GPU clusters, schedulers, containers)
• Build internal tools and services to support model lifecycle management (versioning, deployment, monitoring)
• Collaborate closely with AI researchers and developers to optimize workflows and system performance
• Work with DevOps teams on CI/CD pipelines, automation, and infrastructure-as-code
• Ensure reliability, reproducibility, and observability of AI systems
• Troubleshoot complex issues across infrastructure, code, and runtime environments
• Contribute to architecture decisions in a fully on-prem, secure environment

Requirements

• 4+ years of experience in infrastructure engineering / DevOps / backend systems
• Strong experience with Linux systems and networking
• Hands-on experience with containerization and orchestration (Docker, Kubernetes)
• Experience building and maintaining CI/CD pipelines
• Strong coding skills (Python, Go, or similar)
• Experience working closely with software engineers in production environments
• Solid understanding of distributed systems and system design
• Ability to operate in a highly technical, fast-paced R&D environment