teletech Partners

Generative AI Engineer

Stellenbeschreibung:

Title - AI Engineer

Location - Bavaria (Flexible Hybrid Model)

Due to the urgency of these requirements, our client is only accepting applications of applicants who have the right to work and live in Germany

About the Role

As a GenAI Engineer, you’ll be at the forefront of designing, developing, and deploying advanced generative AI applications. You’ll collaborate with cross-functional teams to integrate LLMs and AI models into real-world solutions that drive efficiency, creativity, and automation across industries.

About You

  • Strong background in Python, TensorFlow/PyTorch, and modern ML frameworks.
  • Hands-on experience with LLMs, RAG pipelines, transformers, and prompt engineering.
  • Familiarity with cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes).
  • Solid knowledge of data engineering and MLOps best practices.
  • A passion for solving complex problems with creativity and scalability in mind.

Key Responsibilities

  • Design, train, and fine-tune large language models (LLMs) and generative AI systems.
  • Build scalable pipelines for data preparation, model deployment, and monitoring.
  • Collaborate with data scientists, ML engineers, and product teams to deliver end-to-end AI solutions.
  • Research and apply the latest breakthroughs in NLP, multimodal AI, and generative frameworks.
  • Ensure AI systems are ethical, secure, and compliant with EU data standards.

Bonus If You’ve...

  • Experience with multimodal AI (text, image, speech).
  • Knowledge of vector databases (Pinecone, Weaviate, FAISS).
  • Contributions to open-source AI projects.

We would love to hear from you!

Please apply now by sending your CV to Josh at [email protected] or contact teletech Partners on +44 203 640 7429.

NOTE / HINWEIS:
EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Veröffentlichungsdatum:

    01 Nov 2025
  • Standort:

    Bavaria
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Hybrid
  • Kategorie:

    Development & IT
  • Erfahrung:

    Erfahren
  • Arbeitsverhältnis:

    Angestellt

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