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Melbourne
10 Jun 2026
Staff Applied AI Scientist logo

Staff Applied AI Scientist

Culture Amp

Melbourne
10 Jun 2026
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Staff Applied AI Scientist

Culture Amp is seeking a Staff Applied AI Scientist to join the team behind AI Coach, focusing on measuring and improving AI products in production. The role involves designing evaluation systems, building LLM-powered analysis, and enabling other teams through frameworks and tooling. Candidates need strong experience in LLM evaluation, observability, and production AI systems.

Core AIHybridFull-timeSeniorLLMOpsLangfuse

Staff Applied AI Scientist

Culture Amp is seeking a Staff Applied AI Scientist to join the team behind AI Coach, focusing on measuring and improving AI products in production. The role involves designing evaluation systems, building LLM-powered analysis, and enabling other teams through frameworks and tooling. Candidates need strong experience in LLM evaluation, observability, and production AI systems.

Apply
Core AIHybridFull-timeSeniorLLMOps

Salary

Not specified

Work Location

Melbourne, Victoria, Australia, AU

Work Model

Hybrid: office average 2 days a week

Employment Type

Full-time

Experience Level

Mid-Senior level

Core Qualifications

Technical (Must-have)
LLMOpsLangfusePythonClaude CodeAgentic systemsData labellingObservabilityPrompt engineeringCodexCursorRAGLLM-as-a-judgeTypeScript
Soft Skills
technical writingcommunicationenablementteachingself-starterhumilityresilience

Key Responsibilities

  • •Design and run sampling, LLM-as-a-judge, and labelling systems over de-identified production traces to build longitudinal evaluation monitoring and alerting.
  • •Build LLM-powered analysis that works out why performance moved and recommends prompt or system changes.
  • •Own the full feedback loop: prompt engineering, evaluation at scale, data labelling and continuous improvement.
  • •Enable others through reusable frameworks, tooling and documentation so product and engineering teams run their own evaluations.
  • •Partner closely with Coach, product, data science and people science.
  • •Stay current with the latest evaluation, observability and LLMOps research.
Staff Applied AI ScientistAILLMEvaluationObservabilityCulture AmpMelbourneHybridPythonTypeScript
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