AI Engineer (H/F)

AI Engineer Opportunity At Withings

Chez Withings, our mission is to give everyone full control over their health. To achieve this, we design connected health devices that are both elegant, intuitive, and clinically validated. Our award-winning scales, watches, blood pressure monitors, and sleep trackers, used by millions, are the result of this ambition.

As an AI Engineer, you will be at the heart of our next revolution. Your role will be essential in achieving our goal: transforming prevention, monitoring, and support for many chronic diseases through pioneering and personalized AI services.

At the core of our Data & Analytics team, you will be the engine driving our future AI innovations. Your mission will be to design, build, and operate intelligent services that redefine the user experience and enhance the clinical impact of our products.

Develop data pipelines to transform the potential of large language models (OpenAI, Google, Mistral & Anthropic...) into concrete functionalities.

Optimize prompt engineering to ensure smooth, empathetic, and relevant interactions with our models.

Build and deploy robust and scalable agent pipelines (e.g., Langchain/LangGraph) capable of supporting hundreds of thousands of users.

Orchestrate the integration of multiple knowledge sources (via RAG) and data from our devices to create a contextual and truly personalized AI.

Create knowledge extraction systems to build a 360° view of our users' health, enabling proactive suggestions and dynamic monitoring.

Act as a strategic partner to product teams, translating their ambitions into innovative AI solutions that provide tangible value to our users and optimize our internal processes.

Become the technical expert and evangelist for LLMs within Withings, guiding teams towards the most relevant applications.

Ensure the excellence of the Data Analytics team's codebase (Python, SQL) through rigorous and constructive code reviews.

Address the unique challenges of our data infrastructure (on-premise, open-source, health data security) to ensure its robustness and evolution.