Generative AI Engineer

🏢 Ähdus Technology
📍 Germany
📅 Posted Sep 13, 2026 · via Himalayas
🏷 Generative AI Engineering, Machine Learning Engineering, Deep Learning Engineering, AI Software Engineering, Mlops Engineering, Generative AI Engineer +2 more
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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.

Originally posted on Himalayas

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