Staff AI Agent Engineer Lisboa

Staff AI Agent Engineer
Lisboa
Lisboa, Lisboa, Portugal

## Job Description
The Agentic Tribe is revolutionizing the chatbot and voice assistance landscape with Gen3, a
- edge AI Agent system that's pushing the boundaries of conversational AI. Gen3 isn't your typical chatbot; it's a
- oriented, dynamic, and truly conversational system capable of reasoning, planning, and adapting to user needs in
- time. By leveraging a
- 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,
- step tasks, and guiding other engineers. You'll own critical,
- cutting technical initiatives that impact multiple teams, serve as a
- 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. , Lang
Chain, Llama
Index), setting technical direction and best practices for engineering teams. * Strategize and oversee the integration of AI agent solutions with existing enterprise systems, databases, and
- party APIs to create seamless,
-
- end workflows across the product, identifying and mitigating architectural risks. * Evaluate and select appropriate foundation models and services from
- party providers (e. g. , Open
AI, Anthropic, Google), analyzing their strengths, weaknesses, and
- 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
- 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
- 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
- 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
- step,
- using agents (e. g. , Lang
Chain, 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
- agent communication. * Mastery of Tool Integration & APIs: Designing and implementing secure and scalable integrations of agents with external tools, databases, and APIs (e. g. , Open
AI, 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
-
-
- 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
- edge agents with
- term memory and highly complex planning capabilities (e. g. , Re
Act, Tree-of-Thought)* Programming & Tooling: Expert in Python, Fast
API, 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
- ready code. * Familiarity with
- tuning techniques (e. g. , PEFT, Lo
RA). **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 mins2. Interview with one member of the Hiring Team - 45 minutes3. Take-home technical challenge4. A technical interview with two of our developers to talk more
- depth about your technical experience and answer any questions you might have - 1 hour5. 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 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. to learn more about how we engage with, and provide support to, our local communities. Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster 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. Zendesk's 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 Zendesk’s use of your personal information. #LI-MK12Hybrid: 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

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