Search Infrastructure Engineer What you can expect We’re building the next-generation AI-native knowledge platform to help organizations access and retrieve internal knowledge using LLMs. You’ll join a fast-moving engineering team to build scalable, secure, and intelligent Retrieval-Augmented Generation (RAG) infrastructure — powering enterprise search, AI assistants, and knowledge discovery experiences. About the Team You’ll collaborate with world-class engineers, designers, and product thinkers to define "AI-powered search" in the enterprise. As a core engineer, you'll work on real-time document pipelines, vector databases, and permission-aware retrieval to advance applied LLM systems at scale. Responsibilities Design and implement a scalable RAG system for real-time Q&A across internal content (meetings, messages, documents, whiteboards, videos, etc.). Build robust ingestion and indexing pipelines for semi-structured data sources with fine-grained, permission-aware access control. Develop APIs and backend systems for efficient querying, retrieval, and ranking. Collaborate with ML/NLP engineers to improve embedding models and search quality. Ensure system reliability, low latency, and scalability across data retrieval and augmentation stacks. Monitor system performance and optimize for high-throughput, low-latency workloads under real-world conditions. What we’re looking for 4+ years experience in backend or distributed systems engineering Productivity mindset with effective use of AI tools Experience designing and operating large-scale data ingestion pipelines (message queues, vector stores, Temporal, Elasticsearch, etc.) Proven ability to build highly available, multi-tenant backend services Experience with document-level permission modeling and secure data handling Proficiency with cloud-native tools such as Docker, Kubernetes, and AWS Experience in Go is a plus Experience integrating with SaaS platforms (Google Workspace, Microsoft 365, Slack, etc.) Salary Range or On Target Earnings: Minimum: $127,700 Maximum: $255,400 Additional compensation includes base salary, bonus, and equity, aligned with Zoom's Total Direct Compensation philosophy. Starting pay depends on qualifications and experience, and varies by location. We allow at least 5 days for application submission, with a potential closing date of 10/03/2025. Ways of Working Our hybrid approach combines office and remote work, depending on the role. Benefits Our benefits support physical, mental, emotional, and financial health, work-life balance, and community involvement. Click

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