Ähdus Technology GmbH

Senior Generative AI Engineer

Stellenbeschreibung:

Job Title: Senior Generative AI Engineer

Location: Munich, Germany

Employment Type: Full-Time

About the Role

We are looking for a Senior Generative AI Engineer to lead the design and development of cutting‑edge generative AI systems that produce human‑like content such as text, images, code, and audio. You will play a key role in building and deploying large‑scale models (e.g., LLMs, diffusion models), optimizing performance, and integrating them into real‑world applications.

Key Responsibilities

  • Design and implement generative AI models (e.g., GPT, Stable Diffusion, VAEs, GANs) for various use cases.
  • Fine‑tune and optimize large language models (LLMs) using techniques like LoRA, PEFT, or RLHF.
  • Collaborate with product and research teams to turn ideas into working AI‑powered features.
  • Develop scalable training and inference pipelines using modern ML infrastructure.
  • Analyze model outputs for quality, bias, and safety, and implement necessary safeguards.
  • Stay up to date with the latest research in generative AI and apply state‑of‑the‑art techniques.
  • Lead and mentor junior engineers and contribute to architectural decisions.

Requirements

  • Masters or PhD in Computer Science, Machine Learning, AI, or related field.
  • 4+ years of hands‑on experience in machine learning, with at least 2 years in generative models.
  • Deep understanding of transformer architectures, diffusion models, embeddings, and prompt engineering.
  • Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
  • Experience with model deployment, optimization (e.g., quantization, distillation), and cloud AI tools.
  • Familiarity with data curation, synthetic data generation, and ethical considerations in generative AI.
  • Excellent communication skills and ability to work cross‑functionally.

Nice to Have

  • Experience with OpenAI, Hugging Face, or similar platforms.
  • Contributions to generative AI research or open‑source projects.
  • Experience with multimodal models (text+image, text+audio, etc.).

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Stelleninformationen

  • Veröffentlichungsdatum:

    21 Feb 2026
  • Standort:

    München
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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