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TypeSafe AI

Develops system-one AI for software automation

Data Platform Engineer

Data EngineeringUpdated on Nov 10
Full-timeSan Francisco, CA, USA$210k - $285k /yr

About the Job

Requirements

  • Have experience in data engineering, infrastructure, or backend systems.
  • Be familiar with Kafka, ClickHouse, a data orchestrator such as Dagster or Airflow, and similar technologies.
  • Be comfortable with SQL, data transformations, and permissioning.
  • Understand how data infrastructure supports business intelligence and analytics.

Responsibilities

  • Build and maintain data pipelines, infrastructure, and internal tools.
  • Support data transformations, analytical models, and business intelligence workflows.
  • Manage data access and permissioning.
  • Improve reliability, performance, and data quality.
  • Work with teams across the company to understand and support their data needs.

Desired Qualifications

  • Have built and operated large-scale, production data systems.
  • Have experience building internal tools and supporting analytics.
  • Have worked on a team with strong engineering standards.
  • Be familiar with artificial intelligence and its practical applications.

About the Company

TypeSafe AI

Develops system-one AI for software automation

TypeSafe AI builds machine-native automation inside software. Its flagship model, Jev, takes unstructured program state and returns typed, probabilistic decisions that software can act on, accessed via API in early access for workflows like routing, scoring, extraction, and verification. It uses a custom parallel sampler architecture and RL for Calibrated Decisions (RLCD) to control when and how decisions are made within applications. The company aims to embed programmable, reliable decision-making inside existing software to automate workflows, differentiating itself from consumer-focused chat AI and other AI vendors; it emerged from stealth in 2026 with a $40 million seed led by DCVC.

Company size
11-50
Company stage
Series A
Total funding
$910M
Headquarters
San Francisco, CA
Founded
2024

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