Tasks:
- * Build vector and graph database infrastructure
- * Deploy and monitor AI infrastructure
- * Design test cases
- * Develop AI gateways and middleware
- * Develop secure sandbox environments
- * Improve platform infrastructure and PaaS integration
- * Maintain high availability of core components
- * Optimize infrastructure delivery and operability
- * Support AI agent deployment at scale
- * Troubleshoot and review incidents
- * Write technical documentation
Perks/Benefits:
Skills/Tech stack required:
[AI Gateways] [Computer Architecture] [Computer Networking] [Databases] [Distributed Systems] [Docker] [Go] [Graph Databases] [Java] [Kubernetes] [MCP] [Operating Systems] [Python] [RAG] [Security sandboxing] [SRE] [Vector Databases]
Educational requirements:
[Master's Degree]
Role(s):
[AI Infrastructure Engineer] [AI Middleware Engineer] [Engineer] [Infrastructure Engineer] [Middleware Engineer] [Reliability Engineer] [Site Reliability Engineer]