Full Stack AI Engineer

Role summary
This is a hands-on engineering role focused on building real, deployable AI solutions rather than experimentation or isolated prototypes. The engineer operates across the full lifecycle of AI delivery, from data preparation and knowledge engineering to LLM orchestration and application development.
The role requires the ability to work across multiple platforms, including cloud-native environments with an AWS focus and some Azure exposure, and integrate AI capabilities into secure, scalable, and reusable systems. The engineer is expected to contribute to both rapid delivery and the establishment of repeatable engineering patterns.
Key responsibilities
Full stack AI solution development
Design and develop end-to-end AI applications, including backend services, APIs, and user-facing components.
Build production-grade solutions that expose AI capabilities through web applications, services, or agents/bots.
Support authentication, integration, and d...