Software Engineer

Zoom•Seattle, WA

3d•Remote

About The Position

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.

Requirements

Master's degree in Computer Science, a related field, or a foreign equivalent
2 years of experience in job offered or related occupation
2 years of experience with Backend or distributed systems engineering
2 years of experience Building systems with Cassandra, ScyllaDB, Postgres, ElasticSearch, Redis, Kafka, and RabbitMQ
2 years of experience with Cloud-native tools including Docker, Kubernetes, and AWS
2 years of experience Building highly available, multi-tenant backend services

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 ne-grained, permission-aware access control
Develop APIs and backend systems to enable efficient querying, retrieval, and ranking
Collaborate with ML/NLP engineers to iterate on embedding models and improve search quality
Ensure reliability, low latency, and scalability across the entire data retrieval and augmentation stack
Monitor system performance and optimize for high-throughput, low-latency workloads under real-world load.