AI Engineer, Product
职位介绍
Contribute to the product team's LLM evaluation framework by designing reference tests, heuristics, and model-graded checks.
Define and monitor metrics such as task success, helpfulness, safety flags, latency, and cost to drive data-driven decisions.
Plan and execute A/B tests for prompts, models, and system prompts, with clear rollout or rollback recommendations.
Implement end-to-end observability for LLM calls, including structured logging, tracing, dashboards, and alerts.
Manage model release processes with canary/shadow traffic, sign-offs, SLO-based rollback criteria, and regression detection.
Improve core behaviors (memory policies, intent classification, follow-ups, routing, and tool-call reliability) and create reusable eval templates for teams.
Define and monitor metrics such as task success, helpfulness, safety flags, latency, and cost to drive data-driven decisions.
Plan and execute A/B tests for prompts, models, and system prompts, with clear rollout or rollback recommendations.
Implement end-to-end observability for LLM calls, including structured logging, tracing, dashboards, and alerts.
Manage model release processes with canary/shadow traffic, sign-offs, SLO-based rollback criteria, and regression detection.
Improve core behaviors (memory policies, intent classification, follow-ups, routing, and tool-call reliability) and create reusable eval templates for teams.
查看完整职位
工作职责、任职要求、技能与福利 — 免费创建账号即可查看。
或
已有账户？
登录相似职位
其他可能适合您的职位。