Senior AI Scientist

Beschreibung

Job Zusammenfassung In diesem Job entwirfst und implementierst du autonome KI-Agenten, optimierst RAG-Pipelines und entwickelst APIs, um intelligente Systeme zu schaffen, die eigenständig Entscheidungen treffen und sich weiterentwickeln. Job Zusammenfassung In diesem Job entwirfst und implementierst du autonome KI-Agenten, optimierst RAG-Pipelines und entwickelst APIs, um intelligente Systeme zu schaffen, die eigenständig Entscheidungen treffen und sich weiterentwickeln. Deine Rolle im Team We are on a lookout for a hands-on Senior AI Scientist (Agentic AI) to join the Vendor Data Team on our journey to always deliver amazing experiences to go beyond prompt engineering into autonomous orchestration: designing agents that generate their own prompts, tools that empower AI with real-world actions, and judge models that validate outputs. Your work won't sit in research notebooks - it'll ship. The Agentic AI team is building the next generation of AI-native products - intelligent systems that reason, act, and adapt. We combine the power of large language models (LLMs), autonomous agents, and retrieval-augmented generation (RAG) to move beyond static prompts and chatbots into dynamic AI systems that solve real problems at scale. We don't treat LLMs as tools to micromanage - we treat them as collaborators. Our products are designed to build and evolve themselves, leveraging AI to orchestrate workflows, make decisions, and continuously improve. Architect and deploy agent-based systems using LangGraph, PydanticAI, LangChain, Google ADK, Claude SDK, or custom-built orchestration frameworks. Build and optimize RAG pipelines - from smart chunking to embedding strategies and vector search. Design self-evolving prompt systems and dynamic decision flows driven by LLMs. Develop APIs and services that let models talk to tools, data, and other systems. Monitor, evaluate, and automate model feedback loops using AI-based simulation and testing agents. Work cross-functionally with product and engineering teams to ship AI-native features, not just prototypes. Unsere Erwartungen an dich Qualifikationen Deep knowledge of RAG, LLM mechanics, prompt design, and chaining. You take ownership. If something is unclear or blocked, you figure it out or find a way around it. You move fast but don't cut corners - you care about quality and impact. You believe working code beats perfect plans, and that iteration is the fastest way to clarity. Judge models, feedback loops, or human-in-the-loop architecture. Familiarity with prompt injection mitigation, output validation, or agent safety. Background in shipping AI inside real-world web or mobile products. Erfahrung 2+ years of experience in applied AI/ML engineering with real-world deployments. Strong Python skills and experience with frameworks like LangChain, LlamaIndex, or Haystack. Experience with vector databases (Pinecone, Weaviate, FAISS) and embedding models. Nice to have: Open-source model experience (e.g., LLaMA2, Mixtral, Mistral) or custom inference stacks. Experience designing test harnesses using agent personas or synthetic users. Unser Angebot Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week. We offer 27 days holiday with an extra day on 2nd and 3rd year of service. We will support you in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses. Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Yoga, Gym & Bicycle Subsidy. Cash. Dough. Cheddar. Whatever you call it, we'll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan. The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts. Benefits Essen & Trinken 🍏 Frisches Obst 🥪 Snacks, Süßigkeiten Work-Life-Integration 🧳 Relocation Package 🏠 Home Office ⏰ Flexible Arbeitszeiten 🍼 Kinderbetreuung Gesundheit, Fitness & Fun 🎳 Team Events 🧘‍♀️ Massage, Yoga o. A. Themen mit denen du dich im Job beschäftigst Machine Learning AI Metadaten Level: Senior Job Feld: Software, Data Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Hybrid, Onsite Unternehmenstyp: Etablierte Firma Branche: Handel Ort: Berlin | Deutschland

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