About BasisBasis is a nonprofit applied AI research organization with two mutually reinforcing goals.
The first is to understand and build intelligence. This entails establishing the mathematical principles of reasoning, learning, decision-making, understanding, and explaining, and constructing software that embodies these principles.
The second is to advance society’s ability to solve intractable problems. This involves expanding the scale, complexity, and breadth of problems we can solve today and, more importantly, accelerating our ability to solve problems in the future.
To achieve these goals, we are building both a new technological foundation inspired by human reasoning, and a new type of collaborative organization that prioritizes human value.
About the RoleWe’re seeking Software Engineers to develop scalable systems that integrate large language models (LLMs) with our everyday operational workflows. This role involves designing and deploying automated “pipelines” for tasks like recruiting, finance, and project management—often powered by GPT, Claude, or similar LLMs. We’re flexible on your arrangement: we’re hiring contractors, part-time, or full-time teammates.
Core ResponsibilitiesArchitect and maintain automation pipelines combining internal tools with GPT/Claude and other LLMs
Integrate data across third-party APIs (e.g., ATS platforms, Slack, Google) into unified, automated workflows
Leverage structured generation (JSON schemas, function calling, etc.) to ensure robust, correct LLM outputs
Collaborate with Ops and R&D to identify high-impact automation opportunities
Write production-grade code, with emphasis on modularity, reliability, and error handling
Deploy, scale, and optimize your solutions in a secure, cloud-based environment
Document solutions for both technical and non-technical audiences, ensuring easy updates and maintenance
Qualifications and AttributesWe’re looking for individuals who:
Have experience programming in Julia and/