Senior AI Agent Engineer (Machine Learning)

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 is not 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:

We are seeking a passionate and experienced AI Agent Engineer to join our this role you will be dedicated to innovating 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 will be a key player in building the cognitive architecture for our AI-powered applications creating systems that can reason plan and execute complex multi-step tasks. Youll effectively communicate complex technical concepts to both technical and non-technical stakeholders including those outside your immediate team.

What You will do (Responsibilities):

• Design and develop robust stateful and scalable AI agents using Python and modern agentic frameworks (e.g. LangChain LlamaIndex).

• Integrate AI agent solutions with existing enterprise systems databases and third-party APIs to create seamless end-to-end workflows.

• 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.

• Drive the entire lifecycle of AI Agent deploymentCollaborate closely with cross-functional teams including product managers ML scientists and software engineers to understand user needs and deliver effective high-impact agent solutions.

• Troubleshoot debug and optimize complex AI systems to ensure optimal performance reliability and scalability in production environments.

• Establish and improve platforms for evaluating AI agent performance defining key metrics to measure success and guide iteration.

• Document development processes architectural decisions code and research findings to ensure knowledge sharing and maintainability across the team.

Core Technical Competencies:

• LLM-Oriented System Design: Designing multi-step tool-using agents (LangChain Autogen). Deep understanding of prompt engineering context management and LLM behavior quirks (e.g. hallucinations determinism temperature effects). Implementing advanced reasoning patterns like Chain-of-Thought and multi-agent communication.

• Tool Integration & APIs: Integrating agents with external tools databases and APIs (OpenAI Anthropic) in secure execution environments.

• Retrieval-Augmented Generation (RAG): Building and optimizing RAG pipelines with vector databases advanced chunking and hybrid search.

• Evaluation & Observability: Implementing LLM evaluation frameworks and monitoring for latency accuracy and tool usage.

• Safety & Reliability: Defending against prompt injection and implementing guardrails (Rebuff Guardrails AI) and fallback strategies.

• Performance Optimization: Managing LLM token budgets and latency through smart model routing and caching (Redis).

• Planning & Reasoning: Designing agents with long-term memory and complex planning capabilities (ReAct Tree-of-Thought).

• Programming & Tooling: Expert in Python FastAPI and LLM SDKs; experience with cloud deployment (AWS/GCP/Azure) and CI/CD for AI applications.

Bonus Points (Preferred Qualifications):

• Ph.D / Masters in a relevant field (e.g. Computer Science AI Machine Learning NLP).

• Deep 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.

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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 believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working enables us to purposefully come together in person at one of our many Zendesk offices around the world to connect collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.

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.