About this role
Designs, builds, integrates, optimizes, and maintains AI-powered applications leveraging generative models and LLMs, including prompt engineering, model integration, RAG pipelines, and scalable AI services. Collaborates with cross-functional teams to deploy and monitor production AI systems, support evaluation and performance optimization, and create documentation and enablement materials.
Skills for this role
PythonAI development frameworksLarge language models (LLMs)Prompt engineeringPrompt optimizationPrompt evaluationAPI integrationGoogle APIsOpenAI APIAnthropic APIGoogle Agent Development Kit (ADK)Retrieval-Augmented Generation (RAG)Vector databasesVertex AI SearchConversational AIResponsible AI practicesBias mitigationSafety guardrailsGraph databasesKnowledge ingestion pipelinesData mesh architecturesCI/CD pipelinesMonitoringAutomated workflowsProduction AI systems evaluationGoogle Cloud PlatformVertex AIBigQueryMLBigQueryData Store