AI Factory-posted 9 months ago
Full-time • Mid Level
San Francisco, CA
11-50 employees
Professional, Scientific, and Technical Services

Factory is seeking talented platform engineers to help strengthen our core platform, with a focus on platform services and enhancing developer experience. You will play a leading role in the design, development, and optimization of the Factory platform and all of its core services and internal systems. Your responsibilities will include driving key areas such as search and indexing systems, core infrastructure, integrations, authentication services, billing and organization management, and internal developer experience. You will enhance the developer experience by creating and refining internal tooling to streamline the engineering experience, with an emphasis on usability, efficiency, and smooth onboarding. Additionally, you will work closely with our AI researchers and engineers to ensure seamless integration between AI-driven components and the foundational systems that support them. You will also drive the adoption of best practices in code quality, security, and architecture design, contributing to a culture of technical excellence and innovation.

  • Design, develop, and optimize the Factory platform and its core services.
  • Drive key areas including search and indexing systems, core infrastructure, integrations, authentication services, billing and organization management, and internal developer experience.
  • Enhance the developer experience by creating and refining internal tooling to streamline the engineering experience.
  • Work closely with AI researchers and engineers to ensure seamless integration between AI-driven components and foundational systems.
  • Drive the adoption of best practices in code quality, security, and architecture design.
  • A strong technical background with a degree in Computer Science, Engineering, or a related field.
  • 3+ years of experience in full stack engineering roles.
  • Proven experience as a software engineer with the ability to build complex, high-performance, and reliable systems.
  • Experience in developing tools for software analysis or in domains like compilers, runtime systems, or similar areas is highly valued.
  • Proficiency in one or more programming languages (e.g., Python, Java, C++).
  • Familiarity with software engineering tools and practices (e.g., Git, CI/CD pipelines).
  • Knowledge of systems programming and understanding of how to work with large codebases.
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