Agentic Staff Engineer (All Genders)
Core
Design and operate data pipelines, datasets, and evaluation workflows for AI-powered products, ensuring reliability, reproducibility, and measurability for training, retrieval (RAG), and monitoring.
Role type
Staff Engineer (Agentic Systems & Data Platform)
Builds
Internal agent orchestration stack, tool registry, evaluation harnesses, and platform libraries for multi-step agentic workflows.
Domain
AI/ML Platform Engineering, Agentic Systems, Data Governance
Deliverable
production ML models | infrastructure
Required skills
Large-scale distributed systems design, agentic patterns (orchestration, memory, planning), technical leadership, system design (multi-tenant, permission models), operational mindset (observability, incident response)
Preferred skills
Evaluation systems at scale, privacy-by-design, retrieval systems (vector search, hybrid), event-driven/workflow patterns
Technologies
Vertex AI, Eino, conversation manager
Responsibilities
Own technical vision and architecture for agentic systems; define engineering standards for agent reliability and debuggability; lead cross-team initiatives spanning Product, Data, Infrastructure, Security/Privacy, and ML; set direction on platform choices and patterns; establish safety and compliance controls; mentor senior engineers.
Seniority
Staff, hands-on IC with strategic leadership
