Senior Generative AI Engineer

About the Job

Senior Generative AI Engineer

Job Description

Generative AI Engineer

Job Type

Depend, either Onsite in Heidelberg, or Hybrid or Remote.

Job Summary

We are seeking a talented Generative AI Engineer to design, develop, and deploy state‑of‑the‑art generative models (e.g., transformers, diffusion models, GANs) that power innovative AI‑driven applications. The ideal candidate combines strong machine learning expertise with hands‑on experience in CI/CD pipelines and a basic understanding of front‑end development to help deliver end‑to‑end, production‑ready AI solutions.

Key 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).
• Basic frontend development knowledge (HTML, CSS, JavaScript, React or similar).

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.