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TypeSafe AI

Develops system-one AI for software automation

Data Demons

Natural Language Processing & LLMsUpdated on Nov 10
Full-timeSan Francisco, CA, USA$210k - $285k /yr

About the Job

Requirements

  • Have solid fundamentals, strong coding ability, and product intuition.
  • Maintain high attention to detail and a strong quality bar.
  • Think beyond the code about how systems are used in the real world.
  • Have hands-on experience implementing large language models and understand their capabilities and limitations.

Responsibilities

  • Create high-leverage datasets, products, and user interfaces that unlock new capabilities and use cases on top of the model.
  • Build internal data-tooling and evaluation interfaces for evaluation, debugging, and data inspection to make model development clearer.
  • Develop and own evaluation frameworks to measure quality, reliability, and emergent characteristics across model iterations.
  • Run rigorous analyses and experiments to understand how data, training choices, and targeted interventions impact model behavior.
  • Turn raw model outputs and data into clear, inspectable user interfaces, owning a domain end-to-end.
  • Partner closely with product managers and customers to translate real-world needs into concrete model and system improvements.
  • Continuously iterate and co-discover techniques for building trustworthy AI products.

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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