SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Dataiku is the Platform for AI Success, an enterprise orchestration layer for building, deploying, and governing AI. The company provides a unified environment where teams design and operate analytics, machine learning, and AI agents with transparency, collaboration, and control. Dataiku's platform sits above data platforms, cloud infrastructure, and AI services, connecting the full enterprise AI stack and enabling organizations to run AI across multi-vendor environments with centralized governance.
As a Fullstack Software Engineer on the Core team, you will contribute to building Dataiku DSS (Data Science Studio) core features across one of four primary themes:
**Data Preparation**: Develop tools for data integration, transformation, and cataloging. Work on Jupyter notebooks, SQL workbenches, and APIs. Add new capabilities leveraging LLMs for data integration and transformation. Optimize workflows for large-scale datasets and improve database support. Strengthen developer tools. Tech stack: Java, Python, AngularJS, Angular.
**AI & Machine Learning**: Collaborate on next-generation AI features, from statistics and time series forecasting to LLM inference. Build features like cross-provider LLM APIs and integrate the latest machine learning models. Work with research teams on innovative ML experiments. Tech stack: Python, scikit-learn, TensorFlow, PyTorch, Java, Angular, AngularJS.
**Data Consumption**: Build experiences that make data accessible and actionable for everyone. Enhance collaborative Workspaces for organizing and exploring charts, dashboards, and datasets. Create innovative interfaces that answer business questions and surface insights using LLMs. Tech stack: Angular, AngularJS, Java, Python.
**Data Visualization**: Elevate data visualization capabilities with high-performance charting tools and dashboards. Develop new chart types and optimize visualization performance. Enhance dashboarding capabilities.
You'll work with a dynamic range of technologies including the latest LLMs, open source communities, and modern data/AI tech stacks. The role offers exposure to enterprise-scale challenges and the opportunity to contribute to a platform used by leading global companies.
