Sr. Evaluation Engineer

📋 Description

• Define quality metrics for incident diagnostics, root-cause analysis, and alert correlation.
• Build offline and online evaluation pipelines in Python; CI/CD integration.
• Lead golden datasets and regression suites across metrics, logs, and incidents.
• Create customer-specific scenarios across technologies and failure modes.
• Use human-authored and AI-assisted methods to generate regression and edge test cases.
• Monitor AI quality and drift; establish evaluation-driven development; mentor engineers.

🎯 Requirements

• 5+ years in software engineering, ML, AI, or related field.
• Strong Python engineering and production systems experience.
• Hands-on AI evaluation, experimentation, testing, and quality frameworks.
• Experience with LangSmith, Arize Phoenix, MLflow, or similar evaluation tools.
• Ability to select/integrate evaluation frameworks for offline testing, online monitoring, regression analysis, and release gating.
• Strong understanding of LLMs, agents, retrieval-augmented generation, prompt engineering, tool calling.
• Experience evaluating non-deterministic, multi-step, or multi-agent AI systems.
• Experience with regression testing, CI/CD, production monitoring, drift detection, and failure analysis.

🎁 Benefits

• Great Place To Work certification.
• BuiltIn's Best Places to Work for the seventh year.
• Equal opportunity employer with an inclusive culture.