Principal AI Agent Engineer

What you can expect We are seeking an innovative and product-driven AI Agent Engineer to design, build, and operationalize autonomous AI agents. In this role, you will go beyond traditional chatbot development to create intelligent systems capable of multi-step reasoning, dynamic tool use, and goal-oriented problem solving. You will bridge the gap between advanced Large Language Models (LLMs) and real-world business systems, building agents that safely and reliably automate complex enterprise tasks. About the Team The GenAI Engineering Team is committed to revolutionizing productivity in communication platforms through the delivery of AI Companion innovations. We are passionate about leveraging cutting-edge technology to drive significant advancements in how people communicate and collaborate. Responsibilities Designing robust agentic architectures, multi-agent systems, and orchestration logic, including core services for runtime, memory, state, tool invocation, sandboxing, and lifecycle management. Building automated evaluation harnesses and observability pipelines to measure and monitor agent accuracy, reasoning capability, latency, and operational cost, ensuring consistent performance in production. Implementing operational guardrails, error handling, human-in-the-loop fallback mechanisms, and access controls to ensure safe, predictable, and compliant agent behavior. Optimizing agent infrastructure for low latency, high throughput, and reliability at scale, collaborating with infrastructure teams for efficient resource utilization and cost management. Partnering with product managers, data scientists, and UX designers to translate workflows into seamless AI-native experiences, shaping strategic planning and technical roadmaps. What we’re looking for Demonstrate expertise in Python, Go, TypeScript, or similar languages, applying software engineering principles to build AI agent systems and multi-agent orchestration frameworks. Have expertise in LLM and agent mechanisms, including LLM API, KV Cache, Agent Loop, Tool Use, Reasoning, Planning, Skills, MCP, Memory, Subagent, and Multi-Agent systems. Exhibit proficiency in Prompt, Context, and Harness Engineering. Demonstrate with AI coding tools (Claude Code, Cursor, Copilot), secondary development and strong grasp of LLM-based reasoning and autonomous agent patterns. Possess experience in cloud-native AI infrastructure (Kubernetes, vector databases, model serving) and passion about building intelligent systems that augment human capability and drive impact. Have Bachelor’s in Computer Science, AI, ML, Cognitive Science, or related fields, and 5+ years of experience in ML engineering or production systems. Salary Range or On Target Earnings Minimum: $151,800.00 Maximum: $332,200.00 In addition to the base salary and/or OTE, 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. 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 know—we’re here to support you at every step. If you need assistance navigating the interview process due to a medical disability, please submit an accommodations request form and someone from our team will reach out soon. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed. #J-18808-Ljbffr Zoom Corporation