Fullstack Software Engineer - Core
Salary not listed • Remote • France, Remote; Germany, Remote; Netherlands, Remote; Spain, Remote; United Kingdom, Remote • Full-time
Posted 1y ago
This job has been open for more than 60 days. It may no longer be actively hiring, so check with the company before putting a lot into an application.
Job Location
France, Remote; Germany, Remote; Netherlands, Remote; Spain, Remote; United Kingdom, Remote
Tech Stack
Remote Work Policy
Fully remote
Employment Type
Full-time
Categories
LLM Engineer
About the job
Dataiku is seeking a Fullstack Software Engineer to join their Core team. This role involves contributing to the development of Dataiku DSS, an enterprise platform for building, deploying, and governing AI. You will work on core features across various themes such as Data Preparation, AI & Machine Learning, Data Consumption, Data Visualization, MLOps, Platform, and AI Governance. This is an opportunity to work with a dynamic range of technologies, including the latest LLMs and open-source communities, and contribute to shaping the future of AI.
Responsibilities
- Contribute to building Dataiku DSS core features.
- Develop tools for data integration, transformation, and cataloging.
- 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.
- 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.
- Enhance collaborative Workspaces to organize and explore charts, dashboards, datasets and more.
- Create innovative interfaces that answer business questions and surface relevant insights using LLMs.
- Develop new chart types and optimize visualization performance.
- Enhance dashboarding capabilities to deliver fast and flexible experiences.
- Build tools to automate retraining, monitoring, and deployment of ML models.
- Enhance collaboration features for ML stakeholders.
- Optimize processing engines for scalability and latency.
- Expand capabilities to support new databases and cloud platforms.
- Develop customizable platforms for managing AI compliance and governance.
- Simplify policy enforcement and integration across disparate systems.
Requirements
- Significant experience in software engineering, building a real product.
- Passion for combining backend performance with exceptional frontend user experience.
- Ability to work in a fast-paced, high-growth environment.