Senior Fullstack Engineer - GenAI
Publication date:
21 March 2025Workload:
100%- Place of work:Zurich
Job summary
Join On's growing Direct to Consumer business as a Senior Software Engineer. Enjoy a dynamic work environment focused on innovation and customer experience.
Tasks
- Build and operate the conversational commerce solutions for On.
- Collaborate with interdisciplinary teams to enhance shopping experiences.
- Stay updated on advancements in AI, LLMs, and Generative AI.
Skills
- Experience in software engineering, particularly in digital infrastructure.
- Strong knowledge in API development and system integration.
- Familiarity with NLP and Generative AI technologies.
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In short
Our Direct to Consumer business is performing and growing strongly, which is why we are looking for a Senior Software Engineer to scale On’s online business to the next level. As an experienced engineer, you will be responsible to build, deploy, test and operate our digital infrastructure.
In this role, you will play a critical part in developing, implementing, and maintaining a best-in-class conversational commerce solution that enhances our customer's shopping end-to-end journey. You will join a specialized interdisciplinary team that is responsible for evolving the customer experience for On by applying the breakthroughs in Large Language models and Generative AI in a production environment.
Your Mission
- Build, test and operate the conversational commerce stack for OnDevelop and deliver end-to-end features across both the frontend and backend, while contributing to decisions on products, tools, and third-party APIs
- Engage with the engineering guild and technology leadership to enable the team to make good long term technical decisions
- Build robust, scalable APIs to support the interaction between our core system and AI models.
- Actively collaborate with Data Science, Design, Product, Customer service teams to identify and leverage trade-offs in a fast-paced highly iterative environment
- Stay updated with the latest advancements in NLP, LLMs, RAG pipelines, multi-modal experiences and Generative AI