Zoom
Overview
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. Search Infrastructure Engineer — What You Can Expect
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. Responsibilities
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. What We’re Looking For
Experience (4+) in backend or distributed systems engineering Productivity mindset with experience using AI tools effectively 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 Experience with document-level permission modeling and secure data handling Cloud-native tools such as Docker, Kubernetes, and AWS Go experience is a bonus Experience integrating with SaaS platforms (Google Workspace, Microsoft 365, Slack, etc.) Minimum
Salary Range or On Target Earnings: $137,700.00 – $275,400.00. We apply a Total Direct Compensation philosophy that includes base salary, bonus, and equity value. Starting pay is based on qualifications and experience. Location-based variations may apply. Ways of Working
Our structured hybrid approach centers around offices and remote work environments. The work style for each role (Hybrid, Remote, or In-Person) is indicated in the posting. Benefits
Our benefits program offers perks and options to support physical, mental, emotional, and financial health, work-life balance, and community involvement. Learn more in the Benefits section. About Us
Zoom helps people stay connected and get more done together. We build the best collaboration platform for the enterprise with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. We value growth and provide opportunities to stretch skills and advance careers in a collaborative environment. Our Commitment
We’re committed to fair hiring practices and supporting candidates with accommodations. If you require an accommodation during the hiring process, let us know. We welcome applicants from diverse backgrounds and perspectives, including those with arrest or conviction records, in accordance with the law. If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone will reach out. Think of this opportunity as a marathon — we’re building a strong team for the long haul. Submit your application when it’s a good fit for your career goals. We continuously review applications.
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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. Search Infrastructure Engineer — What You Can Expect
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. Responsibilities
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. What We’re Looking For
Experience (4+) in backend or distributed systems engineering Productivity mindset with experience using AI tools effectively 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 Experience with document-level permission modeling and secure data handling Cloud-native tools such as Docker, Kubernetes, and AWS Go experience is a bonus Experience integrating with SaaS platforms (Google Workspace, Microsoft 365, Slack, etc.) Minimum
Salary Range or On Target Earnings: $137,700.00 – $275,400.00. We apply a Total Direct Compensation philosophy that includes base salary, bonus, and equity value. Starting pay is based on qualifications and experience. Location-based variations may apply. Ways of Working
Our structured hybrid approach centers around offices and remote work environments. The work style for each role (Hybrid, Remote, or In-Person) is indicated in the posting. Benefits
Our benefits program offers perks and options to support physical, mental, emotional, and financial health, work-life balance, and community involvement. Learn more in the Benefits section. About Us
Zoom helps people stay connected and get more done together. We build the best collaboration platform for the enterprise with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. We value growth and provide opportunities to stretch skills and advance careers in a collaborative environment. Our Commitment
We’re committed to fair hiring practices and supporting candidates with accommodations. If you require an accommodation during the hiring process, let us know. We welcome applicants from diverse backgrounds and perspectives, including those with arrest or conviction records, in accordance with the law. If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone will reach out. Think of this opportunity as a marathon — we’re building a strong team for the long haul. Submit your application when it’s a good fit for your career goals. We continuously review applications.
#J-18808-Ljbffr