Staff AI Agent Engineer (Machine Learning)

Company: Zendesk

Location: Location not specified (Remote)

Type: Full-time

Level: lead

Remote: Yes

Posted: 2026-03-09

About this role

Job Description
The Agentic Tribe is revolutionizing the chatbot and voice assistance landscape with Gen3, a cutting-edge AI Agent system that's pushing the boundaries of conversational AI. Gen3 isn't your typical chatbot; it's a goal-oriented, dynamic, and truly conversational system capable of reasoning, planning, and adapting to user needs in real-time. By leveraging a multi-agent architecture and advanced language models, Gen3 delivers personalized and engaging user experiences, moving beyond scripted interactions to handle complex tasks and "off-script" inquiries with ease.


About The Role
We're seeking a highly experienced and influential Staff AI Agent Engineer to join our team. In this role, you'll be dedicated to driving innovation and technical leadership at the forefront of AI technology, with a focus on designing, developing, and deploying intelligent, autonomous agents that leverage Large Language Models (LLMs) to streamline operations. You'll shape the cognitive architecture for our AI-powered applications, creating systems that can reason, plan, and execute complex, multi-step tasks, and guiding other engineers. You'll own critical, cross-cutting technical initiatives that impact multiple teams, serve as a go-to expert for complex problems, and proactively engage with a broad range of stakeholders to influence strategy and execution.


What You'll Do (Responsibilities)

  • Architect, design, and lead the development of robust, stateful, and scalable AI agents using Python and modern agentic frameworks (e.g., LangChain, LlamaIndex), setting technical direction and best practices for engineering teams.
  • Strategize and oversee the integration of AI agent solutions with existing enterprise systems, databases, and third-party APIs to create seamless, end-to-end workflows across the product, identifying and mitigating architectural risks.
  • Evaluate and select appropriate foundation models and services from third-party providers (e.g., ...

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