
AI Performance Evaluator
18 hours ago
AI Performance Evaluator
This role involves designing and implementing AI performance evaluation pipelines to measure the capabilities of AI systems in real-world enterprise use cases.
The successful candidate will have experience in systems, infrastructure, or performance engineering with strong ownership of metrics and benchmarking.
Responsibilities:
Design agent evaluation pipelines to benchmark AI capabilities
Build domain-specific benchmarks for product support, engineering operations, and other verticals
Develop performance benchmarks for latency, safety, cost-efficiency, and user-perceived quality
Create search- and retrieval-oriented benchmarks
Partner with AI and infrastructure teams to instrument models and agents with detailed telemetry
Drive human-in-the-loop and programmatic testing methodologies
Requirements:
3–7 years of experience in systems, infrastructure, or performance engineering roles
Fluency in Python and full-stack development
Experience building or using large language models and vector-based search
Familiarity with model serving infrastructure and tuning workflows
Deep appreciation for measuring what matters in AI output quality
Impact and Culture:
This role offers the opportunity to design the KPIs of the AI-native enterprise and shape how intelligence is measured in SaaS 2.0.
Our culture values hunger, humility, honesty, and heart, and our mission is to empower engineers to embrace their customers through design, data engineering, and machine intelligence.
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