About the job
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.
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
Qualifications
Minimum
Possess a Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Cognitive Science, or a related field.
Have 5+ 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)
Preferred
No preferred qualifications listed.