Top Tech Jobs & Startup Jobs in Seattle, WA

Lead development of Zoom chat and meeting frontend modules using React/Vue and Zoom SDK, implement hybrid WebView bridges, handle streaming via WebSocket/Zoom realtime APIs, ensure WCAG 2.1 accessibility, build CI/CD pipelines, optimize performance under concurrency, and coordinate a distributed multilingual engineering team.

Design, implement, and deploy LLM-powered autonomous agent systems. Build prompt engineering frameworks, safety/oversight mechanisms, testing frameworks, and services using models like GPT-4 and Claude. Collaborate on agent reasoning, planning, and execution across cloud infrastructure.

Design and build scalable, permission-aware retrieval and reasoning systems for Zoom's AI Companion: vector and hybrid search, RAG pipelines for agentic reasoning, ranking and evaluation frameworks, indexing and NLP/entity extraction pipelines, and collaborate with product, infrastructure, and research to ship production-grade LLM-based features.

Design and optimize GenAI solutions, collaborate with teams, enhance system performance, present technical findings, and stay updated on GenAI advancements.

Lead identification, evaluation, execution, and integration of acquisitions and strategic investments in enterprise SaaS and AI. Manage end-to-end M&A processes including due diligence, deal structuring, negotiation, financial modeling (DCF, accretion/dilution, comparables), and post-acquisition integration to align product roadmaps and go-to-market motions. Create investment theses, decision memos, and drive executive alignment.

The Principal AI Architect will design intelligent agent systems, establish technical standards, and guide development for various industry verticals within Zoom's AI framework.

Develop and optimize AI runtimes for large language models and other AI services, focusing on performance, cost efficiency, and scalability.

Contribute to AI research in LLM post-training and reinforcement learning, developing scalable systems for Zoom's AI Companion. Engage in innovative research, implement model architectures, and partner with teams to translate prototypes into production systems.

The AI Engineer will design scalable APIs and SDKs for AI services, collaborate with AI research teams, and ensure API security and performance. Responsibilities include building processing systems, integrating services, and maintaining documentation.

The role involves designing AI agents, integrating with customer systems, and ensuring successful deployments while providing technical validation and capturing feedback for improvements.