The Agentic Tribe is revolutionizing the chatbot and voice assistance landscape with Gen3, a cutting-edge AI Agent system thats pushing the boundaries of conversational AI. Gen3 isnt your typical chatbot; its 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.
Were seeking a highly experienced and influential Staff AI Agent Engineer to join our team. In this role, youll 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. Youll 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. Youll 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.
Zendesk builds software for better customer relationships. It empowers organizations to improve customer engagement and better understand their customers. Zendesk products are easy to use and implement. They give organizations the flexibility to move quickly, focus on innovation, and scale with their growth.
More than 100,000 paid customer accounts in over 150 countries and territories use Zendesk products. Based in San Francisco, Zendesk has operations in the United States, Europe, Asia, Australia, and South America.
The Agentic Tribe is revolutionizing the chatbot and voice assistance landscape with Gen3, a cutting-edge AI Agent system thats pushing the boundaries of conversational AI. Gen3 isnt your typical chatbot; its 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.
Were seeking a highly experienced and influential Staff AI Agent Engineer to join our team. In this role, youll 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. Youll 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. Youll 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.
Zendesk builds software for better customer relationships. It empowers organizations to improve customer engagement and better understand their customers. Zendesk products are easy to use and implement. They give organizations the flexibility to move quickly, focus on innovation, and scale with their growth.
More than 100,000 paid customer accounts in over 150 countries and territories use Zendesk products. Based in San Francisco, Zendesk has operations in the United States, Europe, Asia, Australia, and South America.
,[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., OpenAI, Anthropic, Google), analyzing their strengths, weaknesses, and cost-effectiveness for specific use cases., Own and drive the entire lifecycle of AI Agent deployment, from concept to production and beyond for large, ambiguous, or highly complex initiatives—collaborate closely with cross-functional teams, including product leadership, ML scientists to understand strategic needs and deliver highly effective agent solutions. , Troubleshoot, debug, and optimize complex AI systems, ensuring exceptional performance, reliability, and scalability in production environments, and mentoring other engineers in advanced problem-solving techniques., Define, establish, and continuously improve platforms and methodologies for evaluating AI agent performance, setting key metrics, driving iterative improvements across the organization, and influencing industry best practices., Establish and enforce best practices for documentation of development processes, architectural decisions, code, and research findings to ensure comprehensive knowledge sharing and maintainability across the team and wider engineering organization., Mentor and guide more junior and mid-level developers, fostering a culture of technical excellence and continuous learning, and contributing to the growth and career development of others. Requirements: AI, Redis, React, Python, Cloud, FastAPI, AWS, GCP, Azure, Machine learning, NLP