Senior Generative AI Engineer

Ahdus technology; München; Vor Ort; EUR 75.000 - 100.000; Vollzeit

Zusammenfassung

A technology firm in Munich is seeking a Senior Generative AI Engineer to lead the design and development of cutting-edge generative AI systems. The role involves fine-tuning large-scale models and collaborating with cross-functional teams to turn ideas into AI-powered features. The ideal candidate holds a Masters or PhD in a relevant field and has over 4 years of experience in machine learning, particularly with generative models. The firm offers a full-time position with a focus on innovation in AI applications.

Qualifikationen

• 4+ years of hands-on experience in machine learning, especially in generative models.
• Deep understanding of transformer architectures and prompt engineering.
• Experience with model deployment and optimization techniques.

Aufgaben

• Design and implement generative AI models for various use cases.
• Collaborate with product and research teams.
• Lead and mentor junior engineers.

Kenntnisse

Machine learning

Generative models

Python

Deep learning frameworks

Cross-functional communication

Ausbildung

Masters or PhD in Computer Science, Machine Learning, AI

Tools

PyTorch

TensorFlow

Jobbeschreibung

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.).