AI Engineer
Posted May 24 · 0 applicants
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The role in plain words
- 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)
Extracted from the job description · kept up to date automatically
Who this suits
Full job description
Original listing · kept for referenceParagon 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 .
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
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- 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)