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The role
The company is hiring a Staff AI Engineer for its AI Platform to build the backend that deploys and runs LLMs, and to apply LLMs to product features across the company. The role covers serving, monitoring and evaluation infrastructure.
What you will do
- Design scalable AI platform services for deploying and managing LLMs and other models
- Apply LLMs to build and improve the company's intelligent features
- Build APIs and backend systems that integrate AI features into the core product
- Build infrastructure for model serving, monitoring, logging and automated evaluation
- Manage model selection, routing and fallback across LLM providers
- Drive AI privacy, security and compliance practices
What they ask for
- Extensive experience building scalable AI/ML platforms in production
- Track record applying LLMs to user-facing features
- Backend and distributed systems expertise with Kubernetes, Docker and AWS, GCP or Azure
- Experience managing multiple LLMs and AI models
- Experience with LangGraph, Airflow, Kubeflow, Ray or similar
- Strong programming in Python, Go or TypeScript
- MLOps experience: deployment, monitoring and evaluation
This is our own short reading of the posting. The full description, and anything that has changed since, is on the employer's careers page behind the apply button.