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Zoom

AI Engineer - AI Verticals

  • Hybrid
  • 6+ years

Salary

$151,800/ year

AI summary

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Description

What you can expect

As an AI Engineer specializing in Agentic AI, you will develop intelligent agents that can autonomously perceive, reason, and act in dynamic environments as part of Zoom AI Companion (AIC).

Your work will directly impact the Zoom user experience by designing and implementing innovative algorithms and systems. These enhancements will improve workplace efficiency and customer engagement across Zoom Virtual Agent (ZVA), Zoom Customer Experience (ZCX) and Zoom Workplace, serving vertical domains like healthcare, education, banking, and insurance.

We are part of the Zoom AI Vertical Organization, dedicated to enhancing the Zoom user experience in workplace and customer interactions. Our team of innovative thinkers is focused on creating the next generation of AI technologies that can autonomously understand, learn, and adapt to improve user engagement and satisfaction. We are seeking an AI engineer to join our team and contribute to our groundbreaking Agentic AI project.

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.

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 for more information of how we use your data.

Responsibilities

  • Designing and implementing backend orchestration layers between AI components within microservices, focusing on agent workflows and runtime operations.
  • Building scalable LLM-powered systems including RAG pipelines, tool-use workflows, and multi-step reasoning agents.
  • Building AI agents using frameworks like LangChain, Dify, OpenAI SDK or internal orchestration system through code (not no-code tools), ensuring proper agent flow implementation.
  • Developing integration between various AI components including LLM, RAG, TTS (Text-to-Speech), and ASR (Automatic Speech Recognition) systems.
  • Writing and optimizing prompts for AI agents, conduct integration testing, and ensure proper functionality of agent systems.
  • Collaborating with research and product engineering teams to implement agent-based solutions that enhance user experience across vertical domains.

Requirements

  • Possess a Bachelor's in Computer Science, Artificial Intelligence, Machine Learning, Cognitive Science or related field, and 10+ years industry experience (or a Master's and 8+ years, or a PhD + 5 years).
  • Show an understanding of machine learning algorithms, neural networks, reinforcement learning, cognitive architectures, and multi-modality including speech and vision.
  • Exhibit development skills in programming languages such as Python, C++, or Java, and experience with AI frameworks and libraries (e.g., PyTorch).
  • Have familiarity with Multiple Agent architectures and experience in designing and implementing multi-agent systems.
  • Utilize problem-solving skills and the ability to think creatively and critically about complex problems.
  • Communicate and collaborate with the ability to work effectively in a team-oriented environment.

Conditions

Minimum:

$151,800.00

Maximum:

$332,200.00&xa;&xa;

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:

10/12/26

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.

Where you’d work

Part of the week in the office

You can work from

  • United States

About the company

Zoom

  • Industry: SaaS

Offices in San Jose, United States, Seattle, United States, United States

Also hiring in Denver, United States, Dublin, Ireland, Ireland and 1 more place

9 of their 28 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 22 checks run
  • 2 red flags

Still hiring?

15 checks

1 red flag

How crowded?

7 checks

1 red flag

Fits Me

How well does this role fit you?

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  • Your field
  • Level
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  • Work model
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  • Must-haves
Details13 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • Java
  • PyTorch
  • C++
  • LLMs
  • RAG
  • LangChain
Type
Full-time
Equity
Equity offered
Industry
SaaS
Specialty
ML
Region
United States
Show 7 more factsShow less

Role

Category
Data & Analytics
Specialty
ML
Experience
10+ years
Tech stack
  • Python
  • Java
  • PyTorch
  • C++
  • LLMs
  • RAG
  • LangChain

Location

Work model
Hybrid
Region
United States
Offices
  • San Jose, United States
  • Seattle, United States
  • United States
Remote from
  • United States

Compensation

Salary
$151,800 / year
Pay period
Annual
Equity
Equity offered

Employment

Type
Full-time

Company

Industry
SaaS

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