
AI Native Enterprise Performance Lead
18 hours ago
We are seeking a skilled Technical Performance Engineer to join our team. In this role, you will be responsible for designing and implementing agent evaluation pipelines that benchmark AI capabilities.
You will build domain-specific benchmarks for product support, engineering ops, and other verticals, as well as develop performance benchmarks that measure latency, safety, cost-efficiency, and user-perceived quality.
You will create search- and retrieval-oriented benchmarks, including multilingual query handling, and partner with AI and infra teams to instrument models and agents with detailed telemetry.
You will drive human-in-the-loop and programmatic testing methodologies for fuzzy metrics like helpfulness and intent alignment, and contribute to DevRev's open evaluation tooling and benchmarking frameworks.
Requirements- 3–7 years of experience in systems, infra, or performance engineering roles.
- Fluency in Python and comfort working across full-stack services.
- Experience building or using LLMs, vector-based search, or agentic frameworks in production environments.
- Familiarity with LLM model serving infrastructure and observability.
- Experience working with model tuning workflows, including prompt engineering and fine-tuning.
- Deep appreciation for measuring what matters – whether it’s latency under load or degradation in retrieval precision.
- Familiarity with evaluation techniques in NLP and human-centered AI.
- Strong product and user intuition.
Bonus: experience contributing to academic or open-source benchmarking projects.
Impact- Ambiguity in how we measure success is reduced when designing the KPIs of the AI-native enterprise.
- This role allows you to shape how intelligence is measured in SaaS 2.0.
The foundation of DevRev is its culture – our commitment to those who are hungry, humble, honest, and act with heart.
We aim to help build customer-centric companies.
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