Staff AI Engineer
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Staff AI Engineer
177,100–387,500 / Year
Location
Seattle (WA)
Experience
Senior
Posted
Jul 18, 2026
Apply by
July 24, 2026
Applicants
0
Early applicantEasy applyFull-timeHybrid
Job Description
What you can expect
As a Staff AI Engineer, you will develop intelligent systems capable of reasoning, planning, and executing complex workflows. You will design agentic systems that manage intricate tasks, perform multi-step actions, and ensure safe interactions with tools and data. This role integrates LLM intelligence with system engineering, and your contributions will directly support the evolution of Zoom AI Companion into a more dependable and advanced assistant.
About the team
You will join a highly collaborative engineering organisation focused on building next-generation AI-powered experiences. The team works across machine learning, distributed systems, and product engineering to deliver scalable, reliable, and intelligent solutions. With a focus on innovation and real-world impact, the team is shaping how AI enhances communication and productivity at Zoom.
Responsibilities
- Designing agentic systems that manage complex, multi-step tasks and autonomous decision-making workflows
- Building scalable, production-grade AI systems that integrate LLM intelligence with robust backend infrastructure
- Ensuring safe and reliable interactions between AI agents and external tools and data sources
- Contributing to the development of agent memory, personalisation, and quality evaluation systems
- Optimising performance across distributed systems to balance quality and latency at scale
- Collaborating across engineering, research, and product teams to deliver AI features used by millions of users
- Incorporating new AI developments rapidly to keep Zoom AI Companion competitive and at the forefront of the market
What we’re looking for
- Have 5+ years of experience in AI/ML engineering, backend/distributed systems engineering
- Have experience building scalable, production-grade AI or agent-based systems
- Demonstrate strong programming skills in one or more of: Python, TypeScript, Go, Java, C++, or Rust
- Have experience with cloud platforms such as AWS, GCP, or Azure
- Have hands-on experience with Kubernetes, containers, and CI/CD pipelines
- Demonstrate an understanding of software architecture, observability, and performance optimisation
- Hold a qualification in Computer Science, Artificial Intelligence, Machine Learning, or a related field
Preferred:
- Have experience building or evaluating AI agents and agentic workflows, and familiarity with modern agent frameworks
- Demonstrate knowledge of prompt engineering, safety systems, and agent evaluation techniques
- Have experience with AI development tools such as Claude Code or Codex
Salary Range or On Target Earnings:
Minimum:
$177,100.00
Maximum:
$387,500.00
In addition to the base salary and/or OTE listed 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
At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!
Anticipated Position Close Date:07/24/26
Ways of Working
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.
Benefits
As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click [Learn](https://careers.zoom.us/benefits)http://careers.zoom.us/benefitsfor more information.
About Us
Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.
We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.
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](https://form.asana.com/?k=OIuqpO5Tv9XQTWp1bNYd8w&d=1127274756253361) and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.
Our interviews are supported by BrightHire, a tool that helps us create a consistent and thoughtful interview experience and may include recordings. Please refer to our [candidate privacy statement](https://www.zoom.com/en/trust/candidate-privacy-statement/) for more information of how we use your data.
Key Responsibilities
- Design agentic systems for complex, multi-step tasks and autonomous decision-making
- Build scalable, production-grade AI systems integrating LLM intelligence with backend infrastructure
- Ensure safe and reliable interactions between AI agents and external tools and data sources
- Develop agent memory, personalization, and quality evaluation systems
- Optimize performance across distributed systems to balance quality and latency
- Collaborate with engineering, research, and product teams to deliver AI features
- Incorporate new AI developments to maintain market competitiveness
Requirements
- Bachelor's degree in Computer Science
- Artificial Intelligence
- Machine Learning
- or a related field
Skills Required
PythonTypeScriptGoJavaC++RustAWSGCPAzureKubernetesContainersCI/CDLLMDistributed SystemsSoftware ArchitectureObservabilityPerformance OptimizationCollaborationProblem solvingAI Agent FrameworksPrompt EngineeringSafety SystemsAgent Evaluation TechniquesClaude CodeCodex
Benefits
- Base salary
- Bonus
- Equity value
- Health and wellness support
- Work-life balance support
- Community contribution opportunities
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