[Hiring] Senior AI Agent Engineer @Zendesk GmbH (Germany)

Role Description

We are seeking a passionate and experienced AI Agent Engineer to join our team. In 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.

• 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 deployment—Collaborate 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.

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).

Requirements

• 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.

Benefits

• Flexible working arrangements with a hybrid approach.
• Opportunities for professional development and learning.
• Inclusive workplace culture focused on diversity and equity.

Company 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 is not 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.