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Principal AI Platform Engineer
Skills
Continuous Integration And Continuous DeliveryCost EfficiencyDatabasesDefaultsDownstream Oil And GasEngineeringEvaluation Tools
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Extensive experience building and maintaining AI platform infrastructure Kubernetes and container security
- Demonstrated expertise in observability and monitoring frameworks with real-time performance focus
- Experience with AI infrastructure components such as vector databases prompt/versioning stores and AI IDEs
- Familiarity with vLLM SGLang or similar frameworks for hosting LLM inference workloads
- Experience with CI/CD pipelines and automation for AI model deployment and platform operations
- Strong knowledge of authentication and authorization frameworks integrated into AI platforms
Day to day
- Build and maintain the core AI platform infrastructure that powers GenAI products and agent workflows.
- Design secure, scalable services such as model gateways prompt stores vector databases and LLM evaluation tools.
- Collaborate with engineering and product teams to integrate AI infrastructure with downstream applications while improving observability reliability and cost efficiency.