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Staff Software Engineer, Cortex AI Search Infrastructure

Snowflake Inc.· Engineering
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Hybrid (US-CA-Menlo Park)$236k - $339.3kFull-timePosted 5mo ago

About the role

Role focused on building high-performance AI search infrastructure for Snowflake Cortex, including retrieval-augmented generation and agentic runtimes, with emphasis on scalable, secure, multi-tenant systems and observability.

Responsibilities

  • Architect Agentic Runtimes: Build and scale the orchestration engines that execute complex agentic workflows, ensuring low-latency tool execution and robust state management.
  • Scale 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.
  • Build the "Evals Engine": Develop the automated infrastructure required to run massive-scale golden set simulations, error analysis pipelines, and "hillclimbing" experiments.
  • Productionize AI Workflows: Collaborate with the modeling team to take raw LLM capabilities and turn them into hardened, multi-tenant microservices with strict guardrails and observability.
  • Optimize 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.

Qualifications

  • Bachelor’s degree in Computer Science or a related technical field.
  • 9 + years of experience building distributed systems, high-throughput APIs, or backend infrastructure for AI/ML products.
  • Deep proficiency in Go or Java (for systems) and Python (for AI orchestration).
  • Strong understanding of database internals, distributed state management, and cloud-native architecture (Kubernetes, FoundationDB, etc.).
  • Familiarity with the "plumbing" of AI: vector indices, agent platforms, and building scalable data pipelines.

Skills

Required:GoJavaPythonDistributed systemsGo/Java and Python integration for AI workflows
Last updated Aug 20, 2026. Interested? Apply on the company site.

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