Full-Stack Software Engineer (Frontend, Backend & Cloud) – Applied & Agentic AI Systems

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

Job description

We are looking for a highly skilled, deeply hands-on Full-Stack Software Engineer who will cover frontend UI, backend architecture, cloud deployment, and DevOps engineering all under one hat. Since our team already includes dedicated AI Engineers and Data Engineers, your primary mission is to be the foundational software engineering anchor: building the robust, scalable, and secure user interfaces, infrastructure, integrations, and server-side logic that allows our AI solutions to thrive in a production environment.

Description of the area

At Roche Digital Technology, we are advancing the boundaries of Applied AI. As part of our strategic initiatives, we are enabling high-value AI solutions spanning advanced agentic frameworks, Generative AI applications, and classical Machine Learning. The Applied AI Engineering Team is tasked with building these innovative AI applications end-to-end to solve complex business challenges in healthcare.

In the 2026 tech landscape, the lines between traditional disciplines have blurred. We operate in small agile teams (e.g., 6 members) powered by advanced coding agents (like Claude Code) to develop and ship solutions faster than ever before (Agentic SDLC).

Job Responsibilities

• Frontend Architecture & Generative UI: Develop highly scalable, reusable UI components using expert-level TypeScript and modern frameworks (React/Next.js or Angular 16+). Shift from static layouts to flexible, dynamic interfaces that gracefully handle unpredictable data and real-time LLM streams.

• Core Backend Engineering & API Design: Design and build highly scalable, reusable backend services and APIs (using Python) that serve as the backbone for multi-agent workflows and GenAI applications. Build, host, and secure Model Context Protocol (MCP) servers and standard APIs to standardize data exchange.