Intern LLM Access and agent platform
We are the Big Data Analytics Platform.
We are the Big Data Analytics Platform.
Key responsibilities in your new role Join our team within the Automotive Microcontroller division and support data-driven innovation throug
Contribute Python code and connect model APIs using approved services and help develop agent workflows, AI components and tool integrations.
Join us as a working student to help build and scale an LLM Wiki as a collaborative AI-native knowledge and working environment.
Was Du bei uns machst Projekte verantworten: Kundenprojekte im Mittelstand führen, vom Kick-off bis zur Übergabe in den Betrieb Bewerten: Pr
Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
Who We Are BeNeering was founded in 2007 by experienced SAP solution architects who had spent years working inside global corporations.
Act as the R&D domain expert and solution architect for Aily App modules: - Internally: Translate R&D routines into product requirements and
Build AI application components that are ready to be tested, deployed and maintained.
You ll build the agent stack an AI consultancy runs on.
Identifiziert KI-Anwendungspotenziale, automatisiert Content-Prozesse und Entscheidungsgrundlagen für die Talentförderung im Fußball-Business.
1KOMMA5° Bei 1KOMMA5° bauen wir Europas führende Energie-Software-Plattform “Heartbeat” und schaffen so ein virtuelles Kraftwerk, das Photov
Location: ERL S SP 9, BLN Department: SE P DM SPOT A Snapshot of Your Day As a working student in our Direct Material procurement organizati
As an AI/LLM Engineer, you will play a key role in building agentic AI systems end-to-end.
Integrate: Embed our foundation models into customer platforms, cloud environments, and ML pipelines.
As a Senior Software Engineer specializing in the AI & ML ecosystem, you ll be a core contributor owning and evolving critical parts of Clic
NVIDIA’s Worldwide Field Operations (WWFO) team is looking for a Solution Architect with expertise in Physical AI, Agentic AI, Data Science
As a Forward Deployed Engineer Intern, you own the technical side of our AI inference deals.
Als AI Solutions Architect gestaltest du die strategische und technologische Weiterentwicklung Künstlicher Intelligenz in den IT-Services de
im Team Worum es geht Wir sind Markus und Thomas, die Gründer von replient.
Bei aktuellen Projekten dreht es sich viel um das Training von eigenen VLMs und um das, was jedes Unternehmen umtreibt: den Einsatz von Agen
Aufbau und Optimierung von Automationen mit Tools wie n8n, Make oder Zapier Integration von AI in unsere Prozesse Entwicklung von Datenpipel
Du analysierst bestehende interne Abläufe (zum Beispiel Sales-Funnel, Angebots- und Projektdaten, Reporting, Onboarding) und identifizierst
Entwickelt und optimiert GPTs, KI-Assistenten und Agenten, identifiziert KI-Anwendungsfälle und automatisiert Prozesse in der Unternehmensberatung.
• Einarbeitung in den Einsatz von Large Language Models (LLMs) mit Agentensystemen, MCP-Schnittstellen, Retrieval-Augmented Generation (RAG)
Du entwickelst und steuerst unseren gesamten Recruiting-Prozess für vorwiegend technische Rollen, einschließlich der Identifikation und akti
Das waren alle 25 Jobs zu dieser Auswahl.
Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
Proficient in on programming language (despite Claude & Co. do the heavy lifting these days) Cloud native (we use Azure, any other cloud will do as well) Applied data science (basic idea of backpropagation) Students from countries outside the EU require a German residence-/work permit. The first master s degree may not have been completed before/during the entire internship.
As the world s leading reinsurance company with more than 16,000 employees at over 50 locations, Munich Re introduces a paradigm shift in the way you think about insurance. By turning uncertainty into a manageable risk we enable fundamental change. Join us working on topics today that will concern society tomorrow, whether that be climate change, major construction projects, medical risk assessment or even space travel.
Together we embrace a culture where multiskilled teams dare to think big. We create the new and the different for our clients and cultivate innovation. Sounds like you?
Push boundaries with us and be part of Munich Re. Our employees are our greatest strength. That s why we offer them a wide range of benefits.
You can find some examples below. Unlock your potential Diversity, Equity & Inclusion: we embrace the power of differences and are convinced that diversity fosters innovation and resilience and enables us to act braver and better. Continuous Learning: we believe that continuous learning is a key differentiator and critical for building new skills and accelerating growth.
Career Mobility: we actively support career mobility, and our strong global and regional presence offers a wealth of career growth opportunities for you. Münchener Rückversicherungs-Gesellschaft Oksana Kern / Nina Hartmuth • Coordination Students Program Munich Re not only stands for fairness with regard to its clients; it is also an equal opportunity employer. Severely disabled candidates will also be prioritised, if equally qualified.
We are the Big Data Analytics Platform. BDAP provides cloud based building blocks to the Group (including MunichRe reinsurance, MEAG asset management, ERGO primary insurance, and many more) enabling analytics, data science, GenAI access and agentic applications. Your Job Build and test platform capabilities together with a highly motivated team of skilled professionals (e.g. setting up alerting based on LogAnalytics logs) Implement proof of concepts to demo platform capabilities (e.g. document classification based on Jev-type model)
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur OriginalanzeigeKI in bestehende Software und Abläufe bringen: Agenten, RAG-Systeme, Schnittstellen, automatisierte Arbeitsketten.