Fullstack Software Engineer - Core

# Fullstack Software Engineer - Core

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. We're looking for a Fullstack Software Engineer to contribute to building Dataiku DSS core features.

## How you'll make an impact

As a Fullstack Engineer, you'll contribute to one of the following themes:

### 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

### 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

### 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

### Data Visualization
Elevate our data visualization capabilities with high-performance charting tools and dashboards.

• Develop new chart types and optimize visualization performance
• Enhance dash boarding capabilities to deliver fast and flexible experiences

### MLOps
Develop back-end capabilities for automating and monitoring ML model lifecycles while supporting cross-functional collaboration.

• Build tools to automate retraining, monitoring, and deployment of ML models
• Enhance collaboration features for ML stakeholders

### Platform
Focus on scaling and securing the platform while improving cloud integrations and supporting a wide array of data sources and engines.

• Optimize processing engines for scalability and latency
• Expand capabilities to support new databases and cloud platforms

### AI Governance
Build features for AI compliance, connecting disparate systems and simplifying governance processes.

• Develop customizable platforms for managing AI compliance and governance
• Simplify policy enforcement and integration across disparate systems

## What you need to be successful

• Significant experience in software engineering, building a real product
• A passion for combining backend performance with exceptional frontend user experience
• Interest in working in a fast-paced, high-growth environment that values diversity of talent, excellence of product, and exciting engineering challenges at scale