AI Engineer

Beschreibung

Job Zusammenfassung In dieser Position entwickelst du innovative Generative AI-Lösungen und intelligente Agentensysteme, designst RAG-Pipelines und kommunizierst direkt mit Kunden zur Anpassung der AI-Lösungen an deren Bedürfnisse. Job Zusammenfassung In dieser Position entwickelst du innovative Generative AI-Lösungen und intelligente Agentensysteme, designst RAG-Pipelines und kommunizierst direkt mit Kunden zur Anpassung der AI-Lösungen an deren Bedürfnisse. Deine Rolle im Team As an AI Engineer, you will play a crucial role in driving innovation and implementing cutting-edge Generative AI solutions and intelligent agentic systems. Designing and implementing end-to-end Generative AI solutions, AI agents, and RAG (Retrieval-Augmented Generation) pipelines to address business challenges and opportunities. Collaborating with cross-functional teams to understand requirements, providing technical expertise, and delivering scalable and robust AI solutions. Conducting research and evaluation of emerging AI models, agentic frameworks, and development kits. Working independently on Proof of Concepts (PoC) to validate and showcase the feasibility of proposed solutions. Conducting direct client communication to understand their needs and tailor AI-driven solutions accordingly. Unsere Erwartungen an dich Qualifikationen Proficiency in building Generative AI and Agentic applications at scale, with expertise in using agentic frameworks, vector databases, grounding, and other relevant concepts. Extensive knowledge of Cloud AI offerings on one of the Hyperscalers (GCP, AWS or Azure), including ready-to-use AI services, AutoML approaches, and custom model development. Strong and assertive communication skills. Passion for keeping up with industry trends and advancements in Generative AI and agentic systems. Knowledge of Docker and Kubernetes. Familiarity with CI/CD processes for MLOps/AIOps. A/B testing expertise for AI models and applications. Erfahrung 3+ years of experience in Applied AI or Machine Learning in the industry. Direct experience or strong familiarity with agent development (e.g. LangGraph, Google Agent Development Kit (ADK), Agno). Proven experience in research and evaluation of emerging AI technologies, models, and frameworks. Hands-on experience with the Google Cloud AI/ML stack (e.g., Vertex AI, Gemini Models, Vector Search). Experience with AI evaluation frameworks (e.g., RAGAs, LangSmith), writing integration tests, and establishing robust validation strategies for Generative AI and agentic applications. Benefits Mehr Netto 🚙 Poolcar 💻 Notebook zur Privatnutzung 🛍 Mitarbeitervergünstigungen 🎁 Mitarbeitergeschenke 📱 Handy zur Privatnutzung 🚎 Verkehrsmittel-Zuschuss Gesundheit, Fitness & Fun 👨🏻‍🎓 Paten- & Mentor- Programm ⚽️ Tischkicker o. Ä. 🧠 Psychische Gesundheitsv. 👩‍⚕️ Betriebsarzt 🎳 Team Events 🚲 Fahrradabstellplatz 🙂 Gesundheitsförderung Work-Life-Integration 🕺 No Dresscode 🧳 Relocation Package 🅿️ Mitarbeiterparkplatz 🐕 Tiere willkommen 🏠 Home Office ⏰ Flexible Arbeitszeiten ⏸ Bildungskarenz/Auszeit 🚌 Gute Anbindung Essen & Trinken ☕️ Kaffee, Tee o. Ä 🍏 Frisches Obst 🥪 Snacks, Süßigkeiten 🥘 Essenszulage Themen mit denen du dich im Job beschäftigst Machine Learning AI Metadaten Level: Erfahren Job Feld: Software, Data Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Hybrid, Onsite Unternehmenstyp: Digitale Agentur Branche: Internet, IT, Telekom Ort: Berlin, Dortmund | Dortmund | Hansastraße 30 | 44137 | Deutschland | Berlin | Kronenstraße 63 | 10117

Tech Stack