Data Platform Engineer
TypeSafe AI is an AI lab building machine-native intelligence infrastructure for software automation. Its flagship System One model, Jev, provides typed decisions, probabilities, and confidence scores through an API and SDKs for developers building automated workflows.
Projects
About TypeSafe AI
TypeSafe AI develops System One models for fast, structured decisions that software can consume directly rather than generated text. Its flagship model, Jev, evaluates supplied state against typed Choice, Score, and Noul questions, returning constrained results, probabilities, and confidence values. The company provides an API, Python and JavaScript SDKs, developer documentation, a console playground, and tools intended for developers building reliable automated software workflows.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build and own data infrastructure and internal tooling for engineering, analytics, and business use cases. You will support data ingestion, storage, transformation, access controls, analytical models, and BI workflows while improving reliability, performance, and data quality.
Requirements
- Data engineering
- Infrastructure
- Backend systems
- Kafka
- ClickHouse
- Dagster or Airflow
- SQL
- Data transformation
- Permissioning
- Business intelligence
- Analytics
Responsibilities
- Build and maintain data pipelines, infrastructure, and internal tools
- Support data transformations, analytical models, and BI workflows
- Manage data access and permissioning
- Improve reliability, performance, and data quality
- Work with internal stakeholders to understand and support data needs
Benefits
- Equity
- 100% covered health insurance
- Daily lunch and dinner
- Visa sponsorship
- 401K plans
