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.
Deep analysis. Smarter systems.
Job Title: Technical Project Lead, Agentic AI Location: Berlin or Munich, Germany Why this role matters German Mittelstand companies urgentl
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.
Build AI application components that are ready to be tested, deployed and maintained.
Dive into the world of Agentic AI and Generative AI, explore the potential of LLMs and turn your ideas into innovative AI solutions with us.
Build AI Agents with domain context for specialized tasks, including multi-step reasoning, tool use, and autonomous decision-making.
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
Einleitung Wir sind eXXcellent solutions.
Design and implement decoupled data supply chains, spanning landing zones, quality and transformation layers, and consumption layers, to ens
Develop, validate, and deploy predictive, prescriptive, and optimisation models for core business domains including procurement, manufacturi
As an AI Software Engineer in our Data Science team, you will help design and deliver scalable backend and cloud systems that power our AI-d
Role highlights: - Role: Forward Deployed AI Engineer - Department: Forward Deployed Engineering - Location: Germany - Reports to: VP, Forwa
Build and Ship AI Agents - Design and build agents that automate complex finance workflows.
Agile Robots SE is an innovative company with a clear mission: bringing intelligent robotic solutions to our customers.
is based in Munich, Germany.
As a Forward Deployed Engineer Intern, you own the technical side of our AI inference deals.
Enhance our ML/LLMOps and AI Agent infrastructure for model evaluation, testing, and deployment within an AWS environment.
Als AI Engineer entwickelst und implementierst du innovative KI-Lösungen auf Basis moderner Large Language Models (LLMs) und begleitest dere
& Verantwortlichkeiten Entwicklung und Implementierung von AI- und Agenten-Lösungen von der Idee bis zum produktiven Einsatz Konzeption mode
Was du bei uns machst Technische Umsetzung beim Kunden: Architektur, Integration und Inbetriebnahme von KI-Lösungen (LLMs, RAG, Agentic AI,
Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
Key responsibilities in your new role Join our team within the Automotive Microcontroller division and support data-driven innovation through Data Analytics, AI, and Digital Transformation initiatives. - Analytics Solutions: Maintain and enhance dashboards, reports, and data-driven applications - Data Analysis and Interpretation: Analyze business data and identify opportunities for informed decision-making - AI and Agentic AI: Support the evaluation, development, testing, and adoption of relevant AI-based solutions - Data Quality: Perform data validation, testing, and monitoring activities to ensure reliable reporting - Process Automation: Help optimize and automate recurring business and analytics processes - Documentation and Knowledge Sharing: Document data sources, workflows, dashboards, and best practices to improve maintainability and knowledge sharing - Cross-Functional Collaboration: Work closely with business stakeholders and technical experts on analytics and digitalization initiatives - Ownership and Professional Growth: Contribute to independent work packages while continuously learning about Data Analytics, AI, and emerging technologies
Qualifications and skills to help you succeed - Study field: You are currently pursuing a Bachelor s or Master s degree in Computer Science, Data Science, Business Informatics, Engineering, Mathematics, Physics, or a related field - Programming & data skills: You have a solid foundation in Python and SQL and enjoy working with data to solve real-world problems - Analytics & visualization: You are familiar with data analytics concepts and ideally have initial experiences with BI and visualization tools such as Tableau or similar platforms - AI mindset: You are enthusiastic about Artificial Intelligence and emerging technologies, with a strong interest in exploring practical AI applications - Way of working: You have a structured, analytical, and solution-oriented mindset with a proactive approach to learning and problem-solving - Documentation & quality: You appreciate the importance of documentation, data quality, and maintainable solutions in a professional environment - Collaboration: You enjoy working in a collaborative environment and feel comfortable communicating with both technical and non-technical stakeholders - Technical curiosity: Familiarity with Git, Jupyter Notebooks, automation tools, or data pipelines is considered a plus - Language skills: You have very good English communication skills, both written and spoken. German is a plus Please attach the following documents to your application: - CV in English - Certificate of enrollment at university - Latest grades transcript (not older than 6 months) - High school report Important information: - Working part-time: The focus is on studies. That’s why working as a student employee during the lecture period is limited to a maximum of 20 hours per week. - Proper students (according to the German law) are welcome: To work as a student employee with us, you must be enrolled at a university and not have completed all of your exams or modules for your degree programme.
You must not be in a semester of leave. We look forward to welcoming you to our team for at least 6 months. - You should live close to the site: For good collaboration, it is important to us that you can come to the office regularly and integrate into the team. Further links: - Find out what we are looking for in your CV - Find out how the student application process works with us - Discover our student website #WeAreIn for driving decarbonization and digitalization.
As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.
Are you in? We are on a journey to create the best Infineon for everyone. We strive to create the best Infineon for everyone by embracing diversity and inclusion.
We welcome applicants for who they are and offer a workplace built on trust, openness, respect and equal opportunity. Our hiring decisions are based on skills and experience. Even if you don’t meet every requirement, we encourage you to apply.
Please let your recruiter know if you need any accommodations during the interview process. Learn more about our various contact channels and about Diversity & Inclusion at Infineon. Britta Johansson
#WeAreIn to create tiny chips and big careers. The future won’t wait. why should you? Join us and make a difference.
Whether you join as a student, intern, or trainee, you ll be part of something real - real projects, real impact, and real opportunities to grow. Are you in?
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.