Fullstack Software Engineer - Core

# Fullstack Engineer at Dataiku

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying and managing AI. As a Fullstack Engineer, you contribute to building Dataiku DSS core features by joining one of the following tracks:

## 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 datasets and improve database support. Strengthen developer tools such as 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 such as 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. Improve 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. Improve dashboarding capabilities to deliver fast and flexible experiences.

## MLOps
Develop back-end capabilities for automating and monitoring ML model lifecycles with support for cross-functional collaboration. Build tools to automate retraining, monitoring and deployment of ML models. Improve collaboration features for ML stakeholders.

## Platform
Focus on scaling and securing the platform while improving cloud integrations and supporting a wide range 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, connect disparate systems and simplify governance processes. Develop customizable platforms for managing AI compliance and governance. Simplify policy enforcement and integration across disparate systems.