AI Software Engineer - Search Infrastructure
Role details
Job location
Tech stack
Job description
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 implementing 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.
Requirements
Do you have experience in System performance monitoring?, Do you have a Bachelor's degree?, * Have a Bachelor's degree and 4+ years of experience 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.)
- Demonstrate a 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.)
Benefits & conditions
3.73.7 out of 5 stars 1116 NW 54th St, Seattle, WA 98107 Hybrid work $151,800 - $332,200 a year - Full-time, $151,800.00
Maximum: $332,200.00
In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.
Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.
We also have a location based compensation structure; there may be a different range for candidates in this and other locations., 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.