Staff Software Engineer

Responsibilities

• Architect Agentic Runtimes by building and scaling orchestration engines for complex workflows
• Scale Context Engineering Infra including RAG, vector database integration, and search indexing
• Build the "Evals Engine" for automated large-scale simulations and error analysis
• Productionize AI Workflows by turning LLM capabilities into hardened, multi-tenant microservices
• Optimize Performance & Cost through model routing, prompt caching, and token optimization

Requirements

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

Preferred Qualifications

• Experience with query optimization and SQL engine internals
• Experience designing multi-tenant systems for sensitive enterprise data
• Experience developing search infrastructure for large-scale applications

About the Company

Snowflake is building the future of AI for enterprise data, focusing on making agentic AI fast, reliable, scalable, and secure at the enterprise level.