As the Technical Lead - Generative AI Agents, you will be the architectural North Star for our agentic initiatives. You will lead the design and delivery of production-grade AI systems that transform how our offerings for B2C customers operate, moving beyond "demos" to create scalable, observable, and reliable business tools.Si le interesa solicitar este empleo, por favor, asegúrese de cumplir los siguientes requisitos que se enumeran a continuación.What You'll DoArchitect & Implement: Design complex agentic workflows—including orchestration, long-term memory, and tool-use—using frameworks like LangGraph, Embabel, or state-machine-based patterns.Cross-Functional Partnership: Work in a high-impact, cross-functional environment alongside a Product Manager to translate ambiguous customer problems into concrete, scalable technical solutions.Engineering Alignment: Collaborate closely with your Engineering Manager, who provides strategic support for the team's operational and resource needs while you hold the "technical keys" to the AI roadmap.Team Leadership: Provide technical direction and mentorship to a diverse, hybrid team of internal engineers and specialist freelancers.Hands-on Execution: Drive the mission by coding alongside the team, performing deep-dive code reviews, and building critical infrastructure.Quality & Standards: Set the "gold standard" for code quality, system design, and testing patterns across the entire AI stack.Future-Proofing: Stay at the bleeding edge of the agentic ecosystem (new LLMs and research) to ensure the Kleinanzeigen stack remains competitive.Who You AreAgentic Framework Expert: You have deep experience with LLM orchestration, focusing on reliability, accuracy, memory management, and tool-calling.Production-Grade MLE: You have a proven track record in "productionizing" AI, including tracing, prompt management, latency optimization, and building LLM-as-a-judge evaluation pipelines.Polyglot Engineer: You are proficient in Python for AI/ML logic and possess a solid working knowledge of Java for backend services and enterprise integration.ML Fundamentals: You have a strong grounding in ML/LLM fundamentals, knowing when to use RAG versus Fine-tuning or sophisticated Prompt Engineering. xqysrnhLeadership Mindset: You take ownership of architectural bottlenecks and thrive in managing ambiguity, turning "what ifs" into technical specifications.Strategic Communicator: You can explain complex AI trade-offs to non-technical stakeholders across the organization