AI Software Engineer (m/w/d)

- Proficient in GenAI and Agentic workflows: Multiple years of hands-on experience in applied AI such as generative models (Gemini, Mistral, Claude, Llama or similar) in production, particularly for text-based tasks. Experience with Vertex AI is a huge plus. - Programming and Model Integration Skills: Expertise in TypeScript and experience integrating language models into production systems with a focus on reliability, scalability, and security. Expertise in Python is a plus but not a must. - Fullstack Development Skills: Skilled in building server-side components in TypeScript or Python. You understand the full spectrum of client-server architecture. Ideally, you have worked with frameworks like Angular and Nest.js before. - LLMOps and CI/CD Experience: Knowledge of CI/CD practices, ideally with GitHub, to streamline and automate model development and deployment. - SaaS Experience: You have worked on B2B SaaS applications and leveraged AI. - Data Security and Performance Optimization: Strong understanding of security, data privacy, and performance tuning specific to machine learning and GenAI in cloud environments. - GenAI Expertise: Proficiency in applying GenAI to enhance user experiences, with a good grasp of advanced text generation, summarization, and other generative tasks relevant to sustainability data processing. - Collaborative and Quality-Driven: Values collaboration, engages in pair programming, and prioritizes high-quality work through peer code reviews. - Initiative and Adaptability: Takes the lead on new projects, drives them to production, and continuously learns and improves based on outcomes.