Staff Software Engineer We are seeking a highly experienced Staff Software Engineer with deep expertise in AI/ML, Generative AI, and full-stack application development. This person will lead the design and development of agentic applications that reason, plan, and act autonomously using cutting-edge AI technologies. This role requires a unique blend of systems thinking, software engineering acumen, and applied AI expertise. You will design scalable platforms that integrate large language models (LLMs), vector databases, MCP (Model Context Protocol) Servers, retrieval-augmented generation (RAG) pipelines, and autonomous agents. You will be part of a high-impact team building intelligent systems. You will combine traditional software engineering with emerging AI capabilities to transform the way users interact with applications. All this while collaborating cross-functionally with researchers, product managers, and engineering peers. Responsibilities: Architecting, building, and scaling full-stack agentic applications using modern web frameworks, microservices, and cloud-native infrastructure. Designing and implementing intelligent agents capable of dynamic decision-making, planning, and multi-step task execution using LLMs. Developing and deploying GenAI pipelines with advanced techniques such as RAG, prompt orchestration, tool use, and memory management. Leading end-to-end development using technologies like Python, TypeScript, React, Node.js, FastAPI, PostgreSQL, and Redis. Integrating and fine-tuning open-source and proprietary AI models. Collaborating with cross-functional teams to translate business requirements into scalable, secure, and performant GenAI solutions. Staying current with trends in AI agent architectures, LLM applications, and emerging tools. What we're looking for: 8+ years of experience in software engineering, with at least 2 years leading complex AI/ML or GenAI-driven applications. Possess experience building full-stack applications and RESTful APIs using cloud-native technologies (AWS/GCP/Azure, Docker, Kubernetes). Demonstrate expertise in LLM integration and agentic system design using libraries like LangChain, Haystack, or custom-built frameworks. Bring deep understanding of NLP, embeddings, vector databases, and data retrieval. Contribute in designing scalable systems for inference, prompt routing, and real-time interactions with large models. Show experience with prompt engineering, prompt chaining, and evaluation of model performance in production. Ways of Working: Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting. Benefits: 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. About Us: Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. We're problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment. Our Commitment: At Zoom, we believe great work happens when people feel supported and empowered. We're committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us knowwe're here to support you at every step. Salary Range or On Target Earnings: Minimum: $124,000.00 Maximum: $271,200.00 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. Anticipated Position Close Date: 10/13/25