Specialty
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The role
The company is hiring a Senior AI Engineer for its AI Platform, building backend systems that deploy and run LLMs and using them to deliver intelligent features across the product. The work includes serving, monitoring and evaluation infrastructure.
What you will do
- Design AI platform services for deploying, orchestrating 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 platform
- Build infrastructure for model serving, monitoring, logging and automated evaluation
- Manage model selection, routing and fallback across LLM providers
- Apply AI privacy, security and compliance practices
What they ask for
- Experience building scalable AI/ML platforms or infrastructure in production
- Track record applying LLMs to user-facing product features
- Backend and distributed systems expertise with Kubernetes, Docker and AWS, GCP or Azure
- Experience integrating and managing multiple LLMs
- Experience with LangGraph, Airflow, Kubeflow, Ray or similar
- Strong programming in Python, Go or TypeScript
- MLOps experience including deployment, monitoring and automated 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.