What you can expect
As an AI Engineer, - Agent, 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 shape 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
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Designing agentic systems that manage complex, multi-step tasks and autonomous decision-making workflows
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Building scalable, production-grade AI systems that integrate LLM intelligence with robust backend infrastructure
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Ensuring safe and reliable interactions between AI agents and external tools and data sources
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Leading the architecture and development of agent memory, personalisation, and quality evaluation systems
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Driving performance optimisation across distributed systems to balance quality and latency at scale
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Collaborating across engineering, research, and product teams to deliver AI features used by millions of users
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Incorporating new AI developments rapidly to keep Zoom AI Companion at the forefront of the market
What we’re looking for
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Have 8+ years of experience in AI/ML engineering, backend/distributed systems engineering
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Have a proven track record building scalable, production-grade AI or agent-based systems at staff level
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Demonstrate strong programming skills in one or more of: Python, TypeScript, Go, Java, C++, or Rust
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Have experience with cloud platforms such as AWS, GCP, or Azure
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Have hands-on experience with Kubernetes, containers, and CI/CD pipelines
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Demonstrate a deep understanding of software architecture, observability, and performance optimisation
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Hold a qualification in Computer Science, Artificial Intelligence, Machine Learning, or a related field
Preferred:
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Have experience building or evaluating AI agents and agentic workflows, and familiarity with modern agent frameworks
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Demonstrate knowledge of prompt engineering, safety systems, and agent evaluation techniques
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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:
05/18/26
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 for 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 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.
전체 조회수
0
전체 지원 클릭
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전체 Mock Apply
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전체 스크랩
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비슷한 채용공고
Zoom 소개

Zoom
PublicZoom Communications, Inc. is an American communications technology company headquartered in San Jose, California, United States. It is primarily known for the videoconferencing application Zoom.
5,001-10,000
직원 수
San Jose
본사 위치
$16B
기업 가치
리뷰
6개 리뷰
2.6
6개 리뷰
워라밸
2.0
보상
2.5
문화
1.8
커리어
2.2
경영진
1.5
15%
지인 추천률
장점
Professional recruiters and initial interview experience
Understanding and accommodating staff
Big tech company opportunities
단점
Toxic work environment with unrealistic expectations
Poor management behavior and gaslighting
Inappropriate interview practices and power-tripping
연봉 정보
15개 데이터
Mid/L4
Senior/L5
Staff/L6
L4
L5
Mid/L4 · Data Scientist
1개 리포트
$139,688
총 연봉
기본급
$107,453
주식
-
보너스
-
$139,688
$139,688
면접 후기
후기 4개
난이도
3.8
/ 5
소요 기간
14-28주
경험
긍정 0%
보통 0%
부정 100%
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Hiring Manager Interview
5
Onsite/Virtual Interviews
6
Offer
자주 나오는 질문
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
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