Snowflake28.04.2026
Staff Software Engineer, Cortex AI Infrastructure
Полная занятостьUS-CA-Menlo Park
Обязанности
- 01Architect Agentic Runtimes: Build and scale the orchestration engines that execute complex agentic workflows, ensuring low-latency tool execution and robust state management.
- 02Scale Context Engineering Infra: Design high-performance systems for RAG (Retrieval-Augmented Generation), including vector database integration, scalable and efficient search indexing, query processing, and result ranking, semantic caching, and automated metadata extraction.
- 03Build the "Evals Engine": Develop the automated infrastructure required to run massive-scale golden set simulations, error analysis pipelines, and "hillclimbing" experiments.
- 04Productionize AI Workflows: Collaborate with the modeling team to turn raw LLM capabilities into hardened, multi-tenant microservices with strict guardrails and observability.
- 05Optimize Performance & Cost: Direct the infra strategy for model routing, prompt caching, and token optimization to ensure Snowflake’s AI features are the most efficient in the industry.
Требования
- 01Bachelor’s degree in Computer Science or a related technical field.
- 025+ years of experience building distributed systems, high-throughput APIs, or backend infrastructure for AI/ML products.
- 03Deep proficiency in Go or Java (for systems) and Python (for AI orchestration).
- 04Strong understanding of database internals, distributed state management, and cloud-native architecture (Kubernetes, FoundationDB, etc.).
- 05Familiarity with the "plumbing" of AI: vector indices, agent platforms, and building scalable data pipelines.
- 06Query optimization and SQL engine internals (bonus).
- 07Designing multi-tenant systems that handle sensitive enterprise data at scale (bonus).
- 08Developing search infrastructure for large-scale applications (bonus).