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# Senior AI Engineer - Agentic Workflow

- **Company:** Zoom Video Communications, Inc.
- **Location:** San Jose, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $151,800.0 - $332,200.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Cloud Computing, Cognitive Science, Computer Programming, Python (Programming Language), Machine Learning, Pytorch, Large Language Models, Deep Learning, Kubernetes, Information Technology, Low Latency, GPT, Docker
- **Published:** June 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=f3801919a01205f6

## About the Role

Do you have experience in Public Cloud?, Do you have a Bachelor's degree?, We're seeking an experienced AI Engineer specialized in agent orchestrator design and implementation, agent workflow, and LLM evaluation metrics and pipeline design. You'll be instrumental in developing and deploying intelligent agent systems that can understand context, orchestrate multi-step processes, automate complex workflows, and execute tasks autonomously across Zoom. Your expertise will help us create agents that streamline operations, reduce manual intervention, and optimize end-to-end business processes through intelligent automation., * Possess a Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Cognitive Science, or a related field.

 * Have 6+ years of experience in AI/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)

## Description

* 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


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