The full answer
AI work at Creuto is production work. Examples from the portfolio include the AI-powered Škoda Auto sales training app, Edverise, an AI-native software company discovery platform, and an AI-powered sales CRM.
Engineers work with several model providers and frameworks rather than one. The toolkit includes Claude, OpenAI, Gemini and Llama, LangChain, TensorFlow and PyTorch, and vector databases such as pgvector and Pinecone.
Building AI into real products involves more than calling a model. Teams handle data preparation, retrieval, evaluation, cost and latency, security and data residency, and they integrate AI features into web, mobile and enterprise systems.
If AI is where you want to focus, say so in your application and highlight relevant experience, such as projects that use language models, machine learning pipelines or data analytics. Roles with a strong AI component are listed on the careers page when open.
AI work also crosses disciplines. Designers shape how people interact with AI features, QA specialists test outputs that are not always predictable, and product people help decide where AI genuinely improves a product.