AI Engineer - Agentic Verticals

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.

• 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 Lang Chain, 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.

• Possess a Bachelor's in Computer Science, Artificial Intelligence, Machine Learning, Cognitive Science and 5+ years industry experience (or Master's and 3+ years, or PhD).
• 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.

Minimum: $

Maximum: $

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.

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.

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.

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.

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