Zoom is looking to develop and deploy intelligent agent systems that can understand context, orchestrate multi-step processes, automate complex workflows, and execute tasks autonomously across Zoom to streamline operations, reduce manual intervention, and optimize end-to-end business processes through intelligent automation.
Requirements
- Possess a Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Cognitive Science, or a related field.
- Have 3+ years of experience in ML engineering
- Exhibit expertise in microservice design and implementation
- Have experience with production agent systems
- Demonstrate programming skills in Python or Java, with deep learning frameworks (PyTorch, Transformers, LangChain)
- Have experience with cloud infrastructure stack (Kubernetes, Docker, AWS)
Responsibilities
- Designing and implementing agent architectures that can reason about tasks, plan actions, and execute solutions
- Developing prompt engineering frameworks and techniques for reliable agent behavior
- Implementing safety mechanisms and oversight protocols for autonomous systems
- Building and maintaining LLM-powered services using models like GPT-4, Claude, and internal models
- Optimizing model infrastructure for low latency and high throughput
- Building robust testing frameworks for agent behavior validation
Other
- We're seeking an experienced AI Engineer specialized in agent orchestrator design and implementation, agent workflow, and LLM evaluation metrics and pipeline design.
- The Agentic Workflow Automation team is committed to revolutionizing productivity by streamlining complex workflows, automating routine tasks, and making decisions with great speed and clarity.
- We are passionate about leveraging cutting-edge technology to drive significant advancements in how people communicate and collaborate.
- Our structured hybrid approach is centered around our offices and remote work environments.
- Think of this opportunity as a marathon, not a sprint! We're building a strong team at Zoom, and we're looking for talented individuals to join us for the long haul.
