Staff AI Agent Engineer
Staff AI Agent Engineer
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Job Description
Job Description
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.
About the Role:
Were seeking a highly experienced and influential Staff AI Agent Engineer to join our 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.
What You will 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. 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 initiativescollaborate 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.
Core Technical Competencies:
Expert in LLM-Oriented System Design: Architecting and designing complex multi-step tool-using agents (e.g. LangChain Autogen). Deep understanding of prompt engineering context management and LLM behavior quirks (e.g. hallucinations determinism temperature effects). Ability to implement advanced reasoning patterns like Chain-of-Thought and multi-agent communication.
Mastery of Tool Integration & APIs: Designing and implementing secure and scalable integrations of agents with external tools databases and APIs (e.g. OpenAI Anthropic) in complex execution environments often involving novel solutions or significant architectural considerations.
Retrieval-Augmented Generation (RAG): Designing building and optimizing highly performant and robust RAG pipelines with vector databases chunking and sophisticated hybrid search techniques
Leadership in Evaluation & Observability: Defining implementing LLM evaluation frameworks and comprehensive monitoring for latency accuracy and tool usage across production systems influencing the observability strategy.
Safety & Reliability: Designing and implementing state-of-the-art defenses against prompt injection and robust guardrails (e.g. Rebuff Guardrails AI) and complex fallback strategies.
Performance Optimization: Deep expertise in managing LLM token budgets and latency through smart model routing caching (e.g. Redis) and other advanced optimization techniques identifying and addressing systemic performance bottlenecks.
Planning & Reasoning: Designing and implementing cutting-edge agents with long-term memory and highly complex planning capabilities (e.g. ReAct Tree-of-Thought)
Programming & Tooling: Expert in Python FastAPI and LLM SDKs; extensive experience and strategic contributions with cloud deployment (AWS/GCP/Azure) and CI/CD for complex AI applications.
Bonus Points (Preferred Qualifications)
Ph.D / Masters in a relevant field (e.g. Computer Science AI Machine Learning NLP).
Comprehensive understanding of foundational ML concepts (attention embeddings transfer learning)
Experience adapting academic research into production-ready code.
Familiarity with fine-tuning techniques (e.g. PEFT LoRA).
The Interview Process:
We are excited to learn more about you so we want to be transparent about what you can expect from our interview process:
1. Initial Call with Talent Team - 15 mins
2. Interview with one member of the Hiring Team - 45 minutes
3. Take-home technical challenge
4. A technical interview with two of our developers to talk more in-depth about your technical experience and answer any questions you might have - 1 hour
5. Final interview with 2 of the following: CTO or Engineering Manager/Director - 45 minutes
About Zendesk
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 100000 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.
Interested in knowing what we do in the community Check out the Zendesk Neighbor Foundation to learn more about how we engage with and provide support to our local communities.
Zendesk is an equal opportunity employer and were proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Zendesk are considered without regard to race color religion national origin age sex gender gender identity gender expression sexual orientation marital status medical condition ancestry physical or mental disability military or veteran status or any other characteristic protected by applicable law.
By submitting your application you agree that Zendesk may collect your personal data for recruiting global organization planning and related purposes. Zendesks Candidate Privacy Notice explains what personal information Zendesk may process where Zendesk may process your personal information its purposes for processing your personal information and the rights you can exercise over Zendesks use of your personal information.
Hybrid: In this role our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection collaboration learning and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.
The intelligent heart of customer experience
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
Zendesk is an equal opportunity employer and were proud of our ongoing efforts to foster global diversity equity & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race color religion national origin age sex gender gender identity gender expression sexual orientation marital status medical condition ancestry disability military or veteran status or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law please click here.
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application complete any pre-employment testing or otherwise participate in the employee selection process please send an e-mail to with your specific accommodation request.
Required Experience:
Staff IC
Employment Type
Full-Time
