Fullstack Software Engineer - Core

Job description

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance.

As a Fullstack Engineer, you’ll contribute to building Dataiku DSS core features by joining one of the following themes:

At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page .

Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

Responsibilities

• Data Preparation : Develop tools for data integration, transformation, and cataloging, as well as Jupyter notebooks, SQL workbenches, and APIs.
• Add new capabilities for data integration, transformation, and visualization using LLMs
• Optimize workflows for large-scale datasets and improve database support
• Strengthen developer tools like Jupyter notebooks and SQL workbenches
• Tech stack: Java, Python, AngularJS, Angular
• AI & Machine Learning : Collaborate on next-gen AI features, from statistics and time series forecasting to LLM inference.
• Build next-generation features like cross-provider LLM APIs or integration with the latest Machine Learning models
• Collaborate with research teams on innovative machine learning experiments
• Tech stack: Python, scikit-learn, TensorFlow, PyTorch, Java, Angular, AngularJS
• Data Consumption: build the experience that makes data accessible and actionable for everyone.
• Enhance our collaborative Workspaces to organize and explore charts, dashboards, datasets and more
• Create innovative interfaces that answer business questions and surface relevant insights using LLMs
• Tech stack: Angular, AngularJS, Java, Python
• Data Visualization : elevate our data visualization capabilities with high-performance charting tools and dashboards.

Requirements

• Significant experience in software engineering across backend and frontend (stack agnostic)
• We’re hiring at all levels (junior, mid, senior)
• A passion for combining backend performance with exceptional frontend user experience.
• You want to work in a fast-paced, high-growth environment that values diversity of talent, excellence of product, and exciting engineering challenges at scale