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. 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. About the Team You’ll work with top engineers, designers, and product thinkers to define "AI-powered search" in the enterprise. As a core team member, you’ll work on real-time document pipelines, vector databases, and permission-aware retrieval, pushing the boundaries of large language model systems at scale. Responsibilities Design and implement a scalable RAG system for real-time Q&A across internal content (meetings, messages, documents, videos, etc.). Build ingestion and indexing pipelines for semi-structured data with permission-aware access control. Develop APIs and backend systems for querying, retrieval, and ranking. Collaborate with ML/NLP engineers to improve embedding models and search quality. Ensure system reliability, low latency, and scalability. Monitor performance and optimize for high-throughput workloads. 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 pipelines (message queues, vector stores, Elasticsearch, etc.) Proven ability to build highly available, multi-tenant backend services Experience with document-level permission modeling and secure data handling Familiarity with cloud-native tools like Docker, Kubernetes, AWS Experience with Go is a plus Experience integrating with SaaS platforms (Google Workspace, Microsoft 365, Slack, etc.) Salary Range or OTE: Minimum: $127,700 Maximum: $255,400 Compensation includes base salary, bonus, and equity, based on qualifications and experience. Location-based variations may apply. Application window is at least 5 days, with a potential closing date of 10/03/25. Ways of Working Our hybrid model combines office and remote work, as indicated in the role description. Benefits Our benefits support physical, mental, emotional, and financial health, work-life balance, and community involvement. Click

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