Staff AI Engineer: Generative AI, LLM & RAG Solutions

Infineon Technologies AG

Klagenfurt am Wörthersee

Vor Ort

EUR 60.000 - 66.000

Vollzeit

14 Tage+
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Zusammenfassung

Infineon Technologies AG in Austria is seeking a Staff Specialist System Engineering on the Software & Data Science team to program the intelligence behind the chips and transform data into actionable insights.

You will work on Generative AI, LLMs, RAG, and data integration, turning prototypes into production solutions with CI/CD, Linux, Python, and cloud tech. The role involves solving complex problems and collaborating across teams in a dynamic, inclusive environment.

Qualifikationen

  • Degree in Information Technology, Computer Science or equivalent.
  • Minimum 3 years in AIML / Data Processing with at least 1 year in LLM / Generative AI.
  • Hands-on experience with LLMs / Generative AI, Chatbots, RAG or AI Agents.
  • Linux systems know-how; strong software engineering & development lifecycle experience (CI/CD).
  • Proficiency in Python and cloud platforms (AWS/Azure).
  • Familiarity with Kubernetes is a plus.

Aufgaben

  • Serve as a technical expert for Generative AI / LLM solutions & Data Integration.
  • Specialize in Retrieval Augmented Generation, Chatbots, and Agentic Systems.
  • Turn prototypes into production solutions with best practices for development and deployment.
  • Support operations: troubleshooting, bug fixes and change requests.

Kenntnisse

AIML / Data Processing
LLMs / Generative AI
Python
Cloud platforms (AWS/Azure)
CI/CD

Ausbildung

Bachelor/Master in IT/CS

Tools

Kubernetes

Jobbeschreibung

Infineon Technologies AG in Austria is seeking a Staff Specialist System Engineering on the Software & Data Science team to program the intelligence behind the chips and transform data into actionable insights.

You will work on Generative AI, LLMs, RAG, and data integration, turning prototypes into production solutions with CI/CD, Linux, Python, and cloud tech. The role involves solving complex problems and collaborating across teams in a dynamic, inclusive environment.

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