Informatiker/in (Weiterbildung)

Infineon Technologies IT Services GmbH

Österreich

Vor Ort

EUR 45.000 - 54.000

Vollzeit

Vor 6 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

Infineon Technologies IT Services GmbH sucht eine erfahrene Fachkraft als Staff Specialist System Engineering im Software & Data Science Team. Sie programmieren die Intelligenz hinter Chips, verwandeln komplexe Daten in umsetzbare Erkenntnisse und entwickeln zukunftsweisende Lösungen.

Sie arbeiten an Generative AI / LLM-Lösungen, Data Integration, RAG, Chatbots und KI-Agenten, bringen Linux-Kenntnisse und Python-Know-how mit und verfügen über Erfahrung in CI/CD-Prozessen.

Qualifikationen

  • Abgeschlossenes Hochschulstudium in IT/CS oder gleichwertig.
  • 3+ Jahre relevante AIML/Data-Processing-Erfahrung, mind. 1 Jahr Fokus auf LLM/Generative AI.
  • Hands-on-Erfahrung mit LLMs/Generative AI, Chatbots, RAG oder KI-Agenten.

Aufgaben

  • Technische Expertenrolle für Generative AI / LLM-Lösungen & Data Integration. Fokus auf RAG, Chatbots und Agentic Systems.
  • Auf dem neuesten Stand bleiben und Wissen in die Arbeitsabläufe integrieren.
  • Prototypen in Produktionslösungen überführen und Best Practices für Entwicklung und Deployment anwenden.
  • Unterstützung des Betriebes der Lösungen durch Fehlersuche, Bugfixing und Änderungsaufträge.

Kenntnisse

LLM/Gen AI
Python
CI/CD
Linux
AWS/Azure
RAG/Chatbots
Kubernetes

Ausbildung

Bachelor/Master in IT/CS

Tools

Kubernetes

Jobbeschreibung

WeAreIn for jobs that impact everyone's life.

Job id HRC1769753
Unbefristet
Arbeitsbeginn 01.10.2026
Einsteigen als Berufserfahrene*r

Transforming data into decisions, are you ready to shape the future? As a Staff Specialist System Engineering on the Software & Data Science team, get ready to program the intelligence behind the chips, transform complex data into actionable insights, and create cutting-edge solutions that redefine industries and solve tomorrow's challenges.

Your role
Key responsibilities in your new role
  • Work as a technical expert for Generative AI / LLM Solutions & Data Integration. Specialize in Retrieval Augmented Generation (RAG), Chatbots and Agentic Systems
  • Stay abreast of the latest advancements in these fields and integrate this knowledge into our workflow
  • Transform prototypes into production solutions with best practices for both development and deployment. This will require a comprehensive understanding of the technical requirements, as well as the ability to think critically and solve complex problems
  • Supporting the operation of the solutions involves troubleshooting and bug fixing, as well as implementing change requests to ensure that the solutions continue to meet user requirements
Your profile
Qualifications and skills to help you succeed
  • A degree (Bachelor/Master) in Information Technology, Computer Science or Equivalent
  • Minimum of 3 years of relevant work experience in AIML / Data Processing including at least 1 year focusing on LLM / Generative AI
  • Hands-on experience in the field of LLMs / Generative AI, Chatbots, RAG, or AI Agents. This includes conceptualizing, designing, and implementing AI solutions powered by LLMs
  • Know-how in working with Linux Systems
  • Extensive experience in Software Engineering & Development cycles (CI/CD) with proficiency in scripting languages, particularly Python
  • Strong understanding and experience with public cloud platforms (AWS, Microsoft Azure), ideally particularly in the areas of data integration, RAG, agents, and/or chatbots
  • Basic understanding, and ideally experience, in working with Kubernetes

We are filling this position through one of our leasing partners. A valid work permit for Austria (RWR+ Card) or EU citizenship is a prerequisite for this position. This position is subject to the collective agreement for workers and employees of EEI with a minimum salary of € 4.472,11 (https://www.feei.at/leistungen/informations-service/mindestlohne-und-gehalter). The monthly salary is paid 14 times p.a. A higher payment is negotiable depending on your expertise and skills.

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