AI Platform Engineer

Requisitos

• 3–8 years hands-on platform, infrastructure, DevOps, or cloud engineering
• Familiarity with LLM APIs, vector databases, or AI model serving
• Familiarity with AI-assisted development tools (GitHub Copilot, Claude, Cursor)
• Understanding of AI security: prompt injection, data governance, model monitoring, output validation
• Strong proficiency supporting and building in one cloud platform (AWS, Azure, GCP)

Desejáveis

• Experience designing or operating internal developer platforms
• Experience with AI-assisted development tools and their platform/security considerations
• Familiarity with SRE practices, reliability engineering, and incident management
• Cloud security and compliance experience (IAM, secrets management, audit readiness)
• Mentoring junior engineers or leading technical design discussions