Fullstack Software Engineer
Dataiku provides an enterprise AI platform for building, deploying, orchestrating, and governing analytics, machine learning, generative AI, and AI agents. Its customers include large organizations across financial services, life sciences, manufacturing, retail, energy, logistics, technology, and the public sector.
Maintainer signals as of 9/2/2026
About Dataiku
Dataiku develops a unified enterprise AI platform that connects people, data, analytics, machine-learning models, large language models, and AI agents in a governed environment. Its offerings include AI-agent development and orchestration, centralized LLM management, AI governance, trusted analytics, machine-learning development and deployment, collaboration, monitoring, lineage, and risk controls. Dataiku serves enterprise business and technical teams, including organizations operating in complex and highly regulated industries.
Skills
About the Role
You will contribute to Dataiku DSS core features across data preparation AI and machine learning data consumption data visualization MLOps platform engineering and AI governance. You may develop data integration and visualization tools build machine learning and LLM capabilities create collaborative interfaces optimize processing engines support databases and cloud platforms or implement AI compliance features.
Requirements
- Significant experience in software engineering and building a real product
- Passion for combining backend performance with exceptional frontend user experience
Responsibilities
- Develop tools for data integration transformation and cataloging
- Build AI and machine learning features including LLM APIs and model integrations
- Create collaborative workspaces interfaces charts dashboards and datasets
- Develop chart types and optimize visualization performance
- Automate retraining monitoring and deployment of machine learning models
- Optimize processing engines for scalability and latency
- Expand support for databases and cloud platforms
- Develop platforms for AI compliance and governance
- Simplify policy enforcement and integration across disparate systems
Hiring Process
Initial call with Technical Recruiting (45 minutes), video call with an Engineering Team Lead (1 hour 30 minutes), technical assessment via home test or live coding, and final interviews with VPs of Engineering (2 hours).