Staff AI Engineer - AI Verticals

Zoom Video Communications, Inc.

$177K — $387K *
Consumer Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's in Computer Science, AI, ML, Cognitive Science or related, with 10+ years of industry experience (or Master's + 8 years, or PhD + 5 years)
  • Understanding of ML algorithms, neural networks, and reinforcement learning
  • Development skills in Python, C++, or Java with experience in AI frameworks like PyTorch
  • Familiarity with Multi-Agent architectures and design of multi-agent systems
  • Strong problem-solving skills and creative thinking about complex challenges
  • Effective communication and collaboration in team settings.

Responsibilities

  • Design backend orchestration layers for AI components in microservices
  • Build scalable LLM-powered systems and tool-use workflows
  • Create AI agents using coding frameworks such as LangChain and OpenAI SDK
  • Integrate various AI components including LLM, RAG, TTS, and ASR
  • Write and optimize prompts, conduct integration testing for agent systems
  • Collaborate with research and product teams to enhance user experience.

Benefits

  • Comprehensive perks to support physical, mental, and emotional health
  • Focus on work-life balance with flexible work options
  • Opportunities for community contribution through various programs
  • Part of an award-winning workplace culture.
Full Job 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.

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.

What we’re looking for

  • 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.

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:

08/03/26

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.

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