AI Integration Developer

Your skills and educational background are important. But above all we would like to hear about the projects you worked on and the challenges that you had. The ideal candidate should have experience in being part of a development team and using tools of agile development.

AI Integration Developer

Your skills and educational background are important. But above all we would like to hear about the projects you worked on and the challenges that you had.

The ideal candidate should have experience in being part of a development team and using tools of agile development.

• Task management tools, e.g. Jira
• Revision management tools, e.g. GIT
• Inline documentation, e.g. JSDoc, JavaDoc, PyDoc
• Package management tools, e.g. npm, yarn, pip, maven
• Testing frameworks, e.g. Unit-Tests (mocha, unittest, junit), Selenium

Experience in Python AI programming environment

• Programming Language: Python
• AI Programming Libraries: Tensorflow/Keras and/or PyTorch
• LLM Provision Tools: Ollama and/or LM Studio
• Cloud LLM Libraries, e.g. OpenAI, Claude, Deepseek, Gemini
• LLM Prompting, e.g. OpenAI, Claude, Deepseek, Llama, Qwen, Gemini, Gemma

Experience in Data Mining and Preparation frameworks

• Web-Crawling, e.g. ZenRows, Selenium, Beautiful Soup, Scrapy
• Data-Handling, e.g. NumPy, Pandas, Scikit-learn

Experience in Data Visualization

• Matplotlib or Seaborn

Other skills welcome:

• AI Cloud-Environment deployment, e.g. Google Cloud, Azure, AWS, Lambda.ai, DigitalOcean
• Build automation tools, e.g. gradle, ant, mvn
• Container management tools, e.g. Docker, Kubernetes
• Deployment automation, e.g. GITLab/Hub runner