Position Details
About this role
Circle's Applied AI team is seeking an AI Platform Engineer to develop infrastructure for measuring and improving AI system performance, focusing on large language models and AI workflows.
Key Responsibilities
- Build evaluation infrastructure
- Create observability tooling and dashboards
- Diagnose quality gaps
- Experiment with models and configurations
- Prototype improvements to RAG pipeline
Technical Overview
The role involves building evaluation frameworks, observability dashboards, and diagnostic tools for AI systems, primarily using Python and data pipelines.
Ideal Candidate
The ideal candidate is a mid-level AI engineer with experience in large language models, AI system evaluation, and observability tooling. They should be comfortable building infrastructure to measure and improve AI systems at scale.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with AI evaluation frameworks, No experience with AI system diagnostics, No familiarity with large language models
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