Python SDK Engineer

Sorry, this job was removed at 04:57 a.m. (CST) on Monday, Feb 17, 2025
Hiring Remotely in United States
Remote
Artificial Intelligence • Information Technology
The Role

Scaled Cognition is developing a new generation of rational, controllable AI models deployable as domain experts for grounded, real-world applications.

As a Python SDK Engineer at Scaled Cognition you will:

  • Collaborate closely with our research team to translate cutting-edge developments for building enterprise LLM applications into robust, modular, well-documented, and user-friendly library components.
  • Act as the core maintainer of the LLM-focused library, owning the end-to-end process of library development and iteration, including initial design of new modules through implementation, testing, documentation, tutorials, and maintenance.
  • Drive continuous improvement efforts to enhance code readability, reduce technical debt, and optimize library functionality.

Example projects could include: 

  • Designing and implementing a new modular architecture for our Enterprise LLM Python library to facilitate easier integration of future research findings and third-party plugins.
  • Creating detailed documentation and examples to support both new users and experienced developers in leveraging the library to its full potential.

You might be the right person for the job if you: 

  • Have a proven track record of architecting and managing complex Python software.
  • Are adept at solving challenging technical problems and are comfortable navigating the uncertainties inherent in R&D work.
  • Are eager to learn and have an optimistic mindset.
  • Excel in collaborative, cross-functional team settings.

Preferred Qualifications:

  • Proven history of architecting and owning complex Python libraries.
  • Expert-level proficiency in Python.
  • Experience working with libraries and tooling common in the LLM and AI/ML ecosystem.

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The Company
21 Employees
Year Founded: 2023

What We Do

Scaled Cognition is developing a new generation of rational, controllable AI models deployable as domain experts for grounded, real-world applications.

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