Custom Software Engineer (GenAI)

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.

The Position

Custom Software Engineer (GenAI)

In line with our Roche Group AI Strategy and our 10-Year Ambition to “Transform our business with data & digital solutions,” we are developing AI capabilities across all levels of the organisation — from EverydayAI, which enhances individual productivity, to Reshape initiatives, which reimagine business processes, to Big Ideas, which push the boundaries of what’s possible in healthcare. 

We are looking for a Custom Software Engineer eager to develop and implement AI-powered solutions within Roche's technology ecosystem.

The ideal candidate should have a good foundation in software development, a willingness to upskill in AI and Generative AI technologies, and the ability to integrate large language models (LLMs) into applications and software development processes (testing, refactoring, requirements management, deployment).

At Roche, we offer a hybrid work model that combines flexibility with in-person collaboration.

For now, we require our employees to be in our offices on average two days per week.

The specific office days may vary depending on business needs, such as workshops, conferences, town halls, team meetings, and other collaborative events.

The opportunity: 


* Design, develop, and optimize AI-powered applications within Roche’s ecosystem.


* Integrate Large Language Models (LLMs) into software applications, leveraging APIs, prompt engineering, and contextual learning techniques.


* Utilize cloud-based AI services (AWS, Azure, or GCP) to build scalable and efficient AI-driven workflows.


* Collaborate with internal teams to enhance software engineering practices through AI automation and optimization.


* Contribute to Roche’s AI strategy by identifying opportunities for automation and efficiency improvements.


* Knowledge sharing - creating technical articles, training sessions (looking for the right phrase?) workshops.

Example projects you may work on:


* AI-powered development tools for engineering productivity


* AI-driven automation for software quality and security


* AI integration in DevOps workflows to accelerate delivery


* Optimizing cloud AI applications for performance and cost efficiency


* Experimenting with Generative AI for software innovation

Who you are:


* Understanding of LLMs, their applications, RAG architecture, prompt engineering, and using LLM APIs (e.g., OpenAI)


* Hands-on experience with LangChain, LlamaIndex, vector databases (e.g...