About this role
Hands-on player‑coach who designs, builds, tests, and deploys production agentic/LLM-powered products and the shared platform/tooling on Google Cloud, while mentoring engineers and applying classical ML, statistics, and experimentation where appropriate. The role emphasizes production-grade engineering for stateful and transactional services, reliability, observability, and testing, with responsibility for end-to-end delivery and cross-functional partnership.
Skills for this role
PythonAsync PythonFastAPIGoogle CloudVertex AICloud RunBigQueryFirestorePub/SubSQLNoSQLContainer-based CI/CDModel Context Protocol (MCP)LLM-powered systemsAgentic systemsRetrieval-augmented generationAgent frameworksNLPStatistical modelingHypothesis testingCausal inferencePredictive modelingA/B experimentationAPI designService designData modelingConcurrencyIdempotencyReliability engineeringObservability