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.

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The Position

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., ~9 members) powered by advanced coding agents (like Claude Code) to develop and ship solutions faster than ever before (through 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.
Cloud Architecture & DevOps Excellence: Design, implement, and manage secure and scalable cloud infrastructure (primarily AWS) tailored for diverse AI workloads. Apply Infrastructure-as-Code (IaC) practices using Terraform. Build, maintain, and optimize fully automated CI/CD pipelines and manage application containerization (Docker).
Agentic SDLC & Engineering Excellence: Leverage AI coding assistants and autonomous agents (e.g., Claude Code, Ona) daily to accelerate full-stack development cycles. Conduct rigorous code reviews for both human-written and AI-generated code.

Qualifications / Education / Experience
Experience: 7+ years of strong software engineering experience with a demonstrable focus on backend development, cloud infrastructure, advanced frontend architecture, and DevOps.
AI Integration Experience: Proven experience building backends for complex solutions and AI / LLM-powered applications, managing streaming responses, and translating non-deterministic AI outputs into safe, functional user interfaces.
Agentic Workflow: Proven experience leveraging AI coding agents within an agentic SDLC to accelerate feature delivery.
Hold a B.Sc., B.Eng., M.Sc., M.Eng., PhD, or equivalent in Computer Science, Software Engineering, or a related field.
Be a passionate builder, staying continuously up-to-date with the latest developments in cloud computing, backend architectures, frontend paradigms, and AI integrations.
Be team-oriented, proactive, and collaborative, thriving in a fast-paced environment where roles are fluid and multidisciplinary.
Have a deep sense of accountability, capable of diagnosing complex system-level issues across the entire stack, and able to step into a Tech Lead role when necessary.

Skills
Must-have:
Software Engineering Best Practices: Robust automated testing (TDD) to verify both code written by AI agents and dynamic UI components generated at runtime.
Frontend & User Interface: Deep expertise in TypeScript and a major framework (React/Next.js or Angular 16+). Strong capability in complex state man…