Senior Generative AI Engineer

Overview

Job Title: Senior Generative AI Engineer

Job Description: Generative AI Engineer

Job Type: Depend, either onsite in Heidelberg, or Hybrid or Remote.

Responsibilities

• Design, train, and fine-tune generative models (e.g., GPT, DALL·E, Stable Diffusion).
• Build scalable ML pipelines for training and inference, including CI/CD workflows .
• Collaborate with frontend developers to ensure smooth integration of AI into user-facing products.
• Develop RESTful APIs or services to serve models in production environments.
• Conduct experiments, evaluate model performance, and iterate based on results.
• Monitor, troubleshoot, and continuously improve deployed AI systems.
• Stay current with research trends in generative models and foundation models.
• Promote responsible and ethical AI practices in content generation and deployment.

Requirements

Must-Have:

• Bachelor’s or master's in computer science, AI, Machine Learning, or related field.
• Strong proficiency with ML/DL frameworks like PyTorch or TensorFlow.
• Proven experience with generative models (e.g., transformers, GANs, VAEs).
• Programming skills in Python and familiarity with deployment on AWS/GCP/Azure.
• Experience with CI/CD tools and practices (e.g., GitHub Actions, Jenkins, Docker).

Nice-to-Have:

• Experience in NLP, vision, or foundation models.
• Experience in containerization and orchestration tools (e.g., Docker, Kubernetes).
• Understanding MLOps and model monitoring tools.
• Experience fine-tuning large language models (LLMs) and prompt engineering.

What You’ll Work On

• Intelligent chatbots, AI writing tools, creative media generation, or internal copilots.
• Bridging AI models with usable frontend tools or dashboards.
• Automating and streamlining model training, testing, and deployment.

Why Join Us?

• Be at the cutting edge of AI and product innovation.
• Collaborate with a team passionate about shaping the future of generative tech.
• Competitive compensation.

Note: The Job description is subject to change according to organizational needs.