The full answer
Because the team is compact, 34+ in-house specialists, people see the whole product rather than one layer of it. An engineer might work on a quick commerce app, an enterprise payroll platform and an AI-native marketplace within a couple of years, which builds judgement that single-product companies cannot offer.
Learning is mostly on the job and from each other. Engineering teams on client work are senior-only, so you work next to experienced engineers, designers and QA specialists, with code review on every change, sprint demos to clients and a named engineering lead who sets the standard and explains the trade-offs.
AI is part of everyday work. Creuto builds with Claude, OpenAI, Gemini, Llama and Mistral models, uses AI-assisted development in its workflow, and as an OpenAI Select Partner plans to train the team and build reusable accelerators. People learn to evaluate model outputs with test sets, control cost and design products where AI carries volume and humans keep accountability.
Growth in responsibility follows demonstrated ownership: leading a module, then a workstream, then a project as the engineering lead. The company's standard, "Either we build it exceptional, or we don't," is what that progression is measured against. Current roles are on the careers page.