Software Engineer, Agent Evaluation and Quality
Anysphere, Inc
Engineering • Full-time • San Francisco; New York
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- Designing and building best-in-class AI evaluation system: curated datasets, offline replay, scorers / judges, regression alerts, and dashboards.
- Designing feedback loops from real usage: collecting, cleaning, and interpreting user signals to inform model and harness changes.
- Developing analysis tooling and workflows for debugging agent behavior: deep dives on failure modes, clustering themes, and surfacing actionable insights.
- Improving reliability and guardrails by making quality measurable and operational: defining "good/bad/degraded" sessions, alerting, and triage primitives.
- You've built and operated evaluation or measurement systems, such as AI evals, experimentation, ranking/relevance, or search quality. You can turn ambiguous "quality" questions into concrete metrics, pipelines, and decisions.
- You have strong data acumen, and can collaborate effectively with data scientists and researchers.
- You have taste and strong opinions on model and agent behaviors. You stay up-to-date and informed on emerging research and industry trends.
- You have strong software engineering fundamentals and enjoy shipping production systems.
Vacancy posted 1 day ago
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