Staff Software Engineer

Maven; San Jose (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Physical Health Benefits

Mental Health Benefits

Emotional Health Benefits

Financial Health Benefits

Work-life Balance Support

Community Contribution Opportunities

Bonus

Equity

Job summary

Zoom is seeking an experienced software engineer to improve the quality, reliability, and performance of its AI-powered virtual agent. You will diagnose AI agent failures, optimize prompt architectures, and build evaluation pipelines to measure agent quality.

This role requires deep expertise in large language models, system design, and end-to-end evaluation. You will collaborate with research and platform teams to deliver production-grade solutions that scale.

Qualifications

• Candidates need 10+ years of software engineering experience, including 3-5 years specifically with production-grade LLM or conversational AI systems.
• An advanced degree in Computer Science or Engineering is required or equivalent practical experience.

Responsibilities

• Diagnose AI agent failures and issues in production systems.
• Improve the quality, reliability, and performance of Zoom's AI-powered virtual agent.
• Build evaluation pipelines to measure agent quality and track improvements.

Skills

System Architecture

LLM-based Systems

Conversational AI

Prompt Engineering

Evaluation Pipelines

Machine Learning

Context Management

Prompt Chain Optimization

Education

Advanced degree in Computer Science or Engineering

Tools

DSPy

APO

GEPA

Job description

The role focuses on improving the quality, reliability, and performance of Zoom's AI-powered virtual agent. Key duties include diagnosing AI agent failures, optimizing prompt architectures, and building evaluation pipelines to measure agent quality.

Requirements

Candidates need 10+ years of software engineering experience, including 3-5 years specifically with production-grade LLM or conversational AI systems. An advanced degree in Computer Science or Engineering is required or equivalent practical experience.

Key Skills

System Architecture, LLM-based Systems, Conversational AI, Prompt Engineering, Evaluation Pipelines, DSPy, APO, GEPA, Machine Learning, Model Training, Context Management, Prompt Chain Optimization

Benefits

• Physical Health Benefits


• Mental Health Benefits


• Emotional Health Benefits


• Financial Health Benefits


• Work-life Balance Support


• Community Contribution Opportunities


• Bonus


• Equity