Zoom-posted 4 days ago
Full-time • Mid Level
Hybrid • Seattle, WA
5,001-10,000 employees

We’re building the next-generation AI-native knowledge platform to help organizations easily access and retrieve internal knowledge using the power of 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 what "AI-powered search" really means in the enterprise. As a core engineer on this team, you'll work across real-time document pipelines, vector databases, and permission-aware retrieval to push the boundaries of applied LLM systems at scale.

  • Designing and implement a scalable RAG system for real-time Q&A across internal content (meetings, messages, documents, whiteboards, videos, etc.).
  • Building robust ingestion and indexing pipelines for semi-structured data sources with fine-grained, permission-aware access control.
  • Developing APIs and backend systems to enable efficient querying, retrieval, and ranking.
  • Collaborating with ML/NLP engineers to iterate on embedding models and improve search quality.
  • Ensuring reliability, low latency, and scalability across the entire data retrieval and augmentation stack.
  • Monitoring system performance and optimize for high-throughput, low-latency workloads under real-world load.
  • Have a Bachelor's degree and experience (4+ years) in backend or distributed systems engineering
  • Have a productivity mindset with experience using AI tools effectively
  • Have experience designing and operating large-scale data ingestion pipelines (message queues, vector stores, Temporal, Elasticsearch etc.)
  • Track record of building highly available, multi-tenant backend services
  • Have experience with document-level permission modeling and secure data handling
  • Possess with cloud-native tools such as Docker, Kubernetes, and AWS
  • Have experience in Go is a bonus
  • Have experience integrating with SaaS platforms (Google Workspace, Microsoft 365, Slack, etc.)
  • As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways.
  • Click Learn for more information.
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