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Uncountable

Cloud-based R&D platform for chemicals

LLM Applications Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeHybrid

About the Job

Requirements

  • At least 2 years of software development experience focused on full-stack web applications.
  • Proven experience with LLM orchestration frameworks such as LangChain, LlamaIndex, or Haystack.
  • Proficiency in Python and JavaScript or TypeScript, with ability to work across the AI backend and React frontend.
  • Experience with API design, asynchronous processing, and performance optimization.

Responsibilities

  • Design, build, and scale the LLM infrastructure and user-facing AI features of the Uncountable Web Platform.
  • Build intuitive AI-driven user-interface components that enable scientists to query, analyze, and visualize complex experimental datasets.
  • Connect LLM capabilities with core SQL databases and data analysis engines to ensure high-fidelity, grounded AI responses.

Desired Qualifications

  • Knowledge of how to measure and mitigate hallucinations in scientific or technical contexts.
  • Familiarity with SQL, especially optimizing queries that provide context for LLM prompts.
  • A B.S. in Computer Science or a related technical field.
  • Create seamless, LLM-first user experiences.

About the Company

Uncountable

Cloud-based R&D platform for chemicals

Uncountable Inc. provides a cloud-based R&D platform for the chemicals and materials industries. It helps large enterprises store, manage, and analyze materials data and experiment results in real time, enabling global collaboration through a centralized workspace. The product works as a subscription-based service that gives users access to data storage, real-time collaboration tools, and advanced analytics, all integrated into existing workflows so teams can run experiments and share insights from anywhere. Compared with competitors, Uncountable focuses specifically on chemicals, polymers, and advanced materials, offering enterprise-grade collaboration and workflow integration within a single platform, with options for premium or custom solutions to meet unique needs. The company’s goal is to improve efficiency and speed in R&D by making data, people, and experiments work together seamlessly in a cloud environment.

Company size
201-500
Company stage
Series A
Total funding
$27M
Headquarters
San Francisco, CA
Founded
2016

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