
AI Performance Engineer
13 hours ago
Job Overview
This role involves designing and implementing evaluation pipelines to benchmark AI capabilities across real-world enterprise use cases.
The ideal candidate will have 3-7 years of experience in systems, infrastructure or performance engineering roles with strong ownership of metrics and benchmarking. They should be fluent in Python and comfortable working across full-stack and backend services.
Responsibilities- Design and implement agent evaluation pipelines that benchmark AI capabilities across real-world enterprise use cases.
- Build domain-specific benchmarks for product support, engineering operations, GTM insights, and other verticals relevant to modern SaaS.
- Develop performance benchmarks that measure and optimize for latency, safety, cost-efficiency, and user-perceived quality.
- Create search- and retrieval-oriented benchmarks, including multilingual query handling, annotation-aware scoring, and context relevance.
- Partner with AI and infra teams to instrument models and agents with detailed telemetry for outcome-based evaluation.
- Drive human-in-the-loop and programmatic testing methodologies for fuzzy metrics like helpfulness, intent alignment, and resolution effectiveness.
- Contribute to DevRev's open evaluation tooling and benchmarking frameworks, shaping how the broader ecosystem thinks about SaaS AI performance.
- A chance to design the KPIs of the AI-native enterprise - to bring rigor to systems that reason, and structure to software that thinks.
- The opportunity to shape how intelligence is measured in SaaS 2.0.
- A collaborative culture committed to those who are hungry, humble, honest, and who act with heart.
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